{"title":"Operational research Books","description":"","products":[{"product_id":"the-voltage-effect-9780241556849","title":"The Voltage Effect","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003e''By far the best book I''ve ever read on the how and why of scaling.\u003c\/b\u003e \u003cb\u003eIf you care about changing the world, or just want to make better decisions in your own life, \u003ci\u003eThe Voltage Effect\u003c\/i\u003e is for you.\u003c\/b\u003e'' Angela Duckworth, CEO of Character Lab and New York Times bestselling author of \u003ci\u003eGrit\u003c\/i\u003e\u003cbr\u003e \u003cb\u003e________________\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003eWhy do some ideas make it big while others fail to take off? According to award-winning behavioural economist John List, the answer comes down to a single question: Can the idea scale?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Countless enterprises fall apart the moment they scale; their positive results fizzle, they lose valuable time and money, and the great electric charge of potential that drove them early on disappears. In short, they suffer a \u003cb\u003evoltage drop\u003c\/b\u003e. Yet success and failure are not about luck - in fact, there is a rhyme and reason as to why some ideas fail and why some make it big. Certain ideas are predictably scalable, while others are predictably d\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eBrilliant, practical, and grounded in the very latest research, this is by far the best book I've ever read on the how and why of scaling. If you care about changing the world, or just want to make better decisions in your own life, \u003ci\u003eThe Voltage Effect\u003c\/i\u003e is for you. * Angela Duckworth, Founder and CEO of Character Lab and New York Times bestselling author of Grit *\u003cbr\u003eHow many books are funny and wise, practical and profound?  John List is a scientist, but he's also a magician, and he's changing the world. \u003ci\u003eThe Voltage Effect \u003c\/i\u003eshows how. This is one of the best economics books I have ever read - and an instant classic in behavioral economics. * Cass R. Sunstein, Robert Walmsley University Professor, Harvard University, and New York Times bestselling coauthor of Nudge *\u003cbr\u003e\u003ci\u003eThe Voltage Effect\u003c\/i\u003e is the toolkit for the ambitious.  Packed with proven principles and pro tips made real through inside stories ranging from Silicon Valley to African NGOs to university fund-raising, List fills the gap between startup books and management books to show how any idea can achieve its full potential. * Scott Cook, co-founder of Intuit *\u003cbr\u003eIdeas from the ivory tower or Davos fail often and fail badly because they do not recognize the deeply political and historical nature of the problems they are trying to deal with and the social realities in which these problems are embedded. This thought-provoking and engaging book proposes an original framework for thinking about how good policy proposals can be applied at a scale large enough to do social good, and for avoiding predictable mistakes that prevent such scaling. A must-read. * Daron Acemoglu,  Institute Professor at MIT and co-author of Why Nations Fail and The Narrow Corridor *\u003c\/p\u003e","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":47832893456727,"sku":"9780241556849","price":15.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241556849.jpg?v=1710339169"},{"product_id":"the-challenger-customer-9780241196564","title":"The Challenger Customer","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eFrom the authors of the internationally-bestselling business classic \u003ci\u003eThe Challenger Sale\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e''A handbook of practices that will help you get into your customers'' heads, deliver good value, and win the sale'' Daniel H. Pink, author of \u003ci\u003eTo Sell is Human \u003c\/i\u003eand \u003ci\u003eDrive\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003e---------------------------------------------------------------\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eThe Challenger Sale, \u003c\/i\u003eMatthew Dixon and Brent Adamson overturned decades of conventional wisdom with a bold new approach to sales. Now they reveal something even more surprising: the highest-performing sales teams don''t focus on friendly, attentive customers. Instead, they target challenger customers.\u003cbr\u003e\u003cbr\u003eChallenger customers are sceptical, less interested in meeting and ultimately indifferent as to who wins the deal. But they also have the credibility, persuasive skill and will to challenge the status quo that will get a deal to the finish line far more often than customers who are easier t\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA handbook of practices that will help you get into your customers' heads, deliver good value and win the sale * Daniel H. Pink, author of To Sell is Human and Drive *\u003cbr\u003eI love it. This book will set the tone for years of work to come. The CEB team has just added the HOW to the WHAT that we have all been searching for since we launched into the Challenger journey * Mitch Little, vice president, worldwide sales and applications, Microchip Technology Inc. *\u003cbr\u003eAn essential new way to think about the sale * Seth Godin, author, Linchpin *\u003cbr\u003eLays out a blueprint for how sales and marketing departments must rethink their approach to winning more business. What worked in the past is clearly having diminishing returns today and will likely lead to failure in the future * John Graff, vice president, corporate marketing, National Instruments *\u003cbr\u003e'Provides evidence-based insights and practical guidance for solving one of today's most pressing commercial challenges: complex decision making within customer organizations. It clearly shows what distinguishes the best sellers and marketing organizations from the rest * Pinder Sahota, general manager, Smith \u0026amp; Nephew *\u003c\/p\u003e","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48732967076183,"sku":"9780241196564","price":15.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241196564.jpg?v=1719999100"},{"product_id":"mathematics-and-politics-strategy-voting-power-and-proof-9780387776439","title":"Mathematics and Politics Strategy Voting Power","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAs a text for an undergraduate mathematics course for nonmajors, Mathematics and Politics requires no prerequisites in either area while the underlying philosophy involves minimizing algebraic computations and focusing instead on some conceptual aspects of mathematics in the context of important real-world questions in political science.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews of the second edition:\u003c\/p\u003e\u003cp\u003e“Mathematics and Politics is the fruit of undergraduate mathematics courses taught by the authors. The primary audience is political and social science majors. … The writing style is appropriate for the intended audience with the understanding that the students\/readers have some familiarity with political science economics or sociology. … Overall the book serves as a useful quantitative introduction to several of the covered topics. … Faculty in the social sciences should strongly consider Mathematics and Politics as a resource\/reference.” (J. Douglas Barrett, Technometrics, Vol. 53 (1), February, 2011)\u003c\/p\u003e\u003cp\u003e“It is intended to serve as a text for social science and humanities students that will highlight the power and utility of mathematics. … if you are considering a course as described above, this textbook deserves to be the one that will entice you into taking the plunge. And if you simply want to educate yourself in areas of social science mathematics that have only recently started to get the attention they deserve, Mathematics and Politics deserves your strong consideration.” (Edward W. Packel, SIAM Review, Vol. 52 (4), 2010)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSocial Choice.- Yes–No Voting.- Political Power.- Conflict.- Fairness.- Escalation.- More Social Choice.- More Yes–No Voting.- More Political Power.- More Conflict.- More Fairness.- More Escalation.","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48733726343511,"sku":"9780387776439","price":61.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780387776439.jpg?v=1720001398"},{"product_id":"online-and-matchingbased-market-design-9781108831994","title":"Online and MatchingBased Market Design","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWritten by more than fifty top researchers from economics, OR, and algorithm design, this text comprehensively covers a major inter-disciplinary field and its important applications from the basics to state of the art. Key chapters discuss efficiency, fairness and incentives, and market design and its relation to social choice theory.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This superb compendium of all aspects of matching markets is an excellent text for advanced students and a definitive reference that integrates economic and computational aspects of market design.' Robert Wilson, The Adams Distinguished Professor of Management, Emeritus, Stanford University\u003cbr\u003e'Matching markets are among the earliest points of contact between the theories of economics and computation. Decades before the advent of Algorithmic Game Theory, great economists articulated discrete algorithmic problems involving agents, goods, and preferences, and invented efficient algorithms for their solution. In the era of the Internet, the importance of the subject has exploded, and so has the convergence of computational and economic research on it. This comprehensive collection of expertly written articles exhausting the many facets of this important topic is destined to influence its further evolution, and will be a quintessential source for students and researchers.' Christos H. Papadimitriou, Donovan Family Professor of Computer Science, Columbia University\u003cbr\u003e'A multi-authored textbook is a challenging project, all the more so on a deeply interdisciplinary topic. Starting from the mathematical foundations and developing into sophisticated applications and empirics, all along supplemented by a rich menu of exercises, this volume makes the state of the art of market design equally accessible to the beginner students and advanced researchers.' Hervé Moulin, The Donald J Robertson Professor of Economics, University of Glasgow\u003cbr\u003e'The modern digital economy depends crucially on the performance of matching-based markets for goods and services ranging from energy to healthcare to cloud services and beyond. So it is wonderful to have a book that develops the beautiful and rich algorithmic and game theoretic foundations of these markets, taking us all the way to the research frontier. I can't wait to teach a course on online and matching-based market design based on this book!' Anna Karlin, Professor and Bill and Melinda Gates Chair of Computer Science and Engineering, University of Washington\u003cbr\u003e'The definitive handbook for a beautiful scientific area that combines elegant theory with a variety of practical applications, economics with computer science, and classical results with fierce ongoing research.' Noam Nisan, Professor of Computer Science and Engineering, Hebrew University of Jerusalem\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Foreword Alvin E. Roth; Part I. Foundations of Market Design: 1. Two-sided markets: stable matching Federico Echenique, Nicole Immorlica and Vijay V. Vazirani; 2. One-sided matching markets Federico Echenique, Nicole Immorlica and Vijay V.Vazirani; 3. Matching markets with transfers and salaries Federico Echenique, Nicole Immorlica and Vijay V. Vazirani; 4. Objectives Federico Echenique, Nicole Immorlica and Vijay V.Vazirani; 5. Applications of online matching Zhiyi Huang and Thorben Trobst; 6. Online matching in advertisement auctions Nikhil R. Devanur and Aranyak Mehta; 7. Spectrum auctions from the perspective of matching Paul Milgrom and Andrew Vogt; 8. School choice Atila Abdulkadiroglu and Aram Grigoryam; 9. Kidney exchange Itai Ashlagi; 10. Normative properties for object allocation problems: characterizations and trade-offs Lars Ehlers and Bettina Klaus; 11. Choice and market design Samson Alva and Battal Dogan; 12. Combinatorics of stable matchings Tamas Fleiner; 13. Algorithmics of matching markets Jiehua Chen and David Manlove; 14. Generalized matching: contracts and networks John William Hatfield, Ravi Jagadeesan, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, Alexander Teytelboym and Alexander Westkamp; 15. Complementarities and externalities Thanh Nguyen and Rakesh Vohra; 16. Large matching markets Jacob D. Leshno; 17. Pseudomarkets Marek Pycia; 18. Dynamic matching Mariagiovanna Baccara and Leeat Yariv; 19. Matching with search frictions Hector Chade and Philipp Kircher; 20. Unraveling Hanna Halaburda and Guillaume Haeringer; 21. Investment in matching markets Matthew Elliott and Eduard Talamas; 22. Signaling in two-sided matching markets Soohyung Lee; 23. Two-sided markets matching design Renato Gomez and Alessandro Pavan; 24. Matching market experiments Yan Chen; 25. Empirical models of non-transferable utility matching Nikhil Agarwal and Paulo Somaini; 26. Structural estimation of matching markets with transferable utility Alfred Galichon and Bernard Salanie; 27. New solution concepts Shengwu Li and Irene Lo; 28. Machine learning for matching markets Zhe Feng, David C. Parkes and Sai Srivatsa Ravindranath; 29. Contract theory Gabriel Carroll; 30. Secretaries, prophets, and applications to matching Michal Feldman and Brendan Lucier; 31. Exploration and persuasion Aleksandrs Slivkins; 32. Fairness in prediction and allocation Jamie Morgenstern and Aaron L. Roth.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738339094871,"sku":"9781108831994","price":52.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108831994.jpg?v=1723811945"},{"product_id":"the-right-tools-for-the-job-9781403918819","title":"The Right Tools for the Job","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is the result of a four-year study into the most commonly used management tools and techniques in the areas of business strategy and finance, marketing, production and operations, and procurement and supply chain management. It explains which tools are used in small, medium-sized and large companies, whether based in the US, Europe or Asia, across many different industrial and service sectors. It explains where companies find out about particular tools, and examines which appear to be the most successful.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction: The Cases For and Against the Ues of Management Tools and Techniques PART 1: STRATEGIC MANAGEMENT Tools and Techniques for Strategic Management The Use of Strategic Management Tools and Techniques PART 2: MARKETING AND SALES MANAGEMENT Tools and Techniques for Marketing and Sales Management The Use and Performance of Marketing and Sales Tools and Techniques PART 3: OPERATIONS AND PRODUCTION MANAGEMENT Tools and Techniques for Operations and Production Management The Use of Operations and Production Management Tools and Techniques PART 4: PROCUREMENT AND SUPPLY MANAGEMENT Tools and Techniques for Procurement and Supply Management The Use of Procurement and Supply Management Tools and Techniques PART 5: CONCLUSIONS A Curate's Egg: On the Use and Performance of Management Tools and Techniques","brand":"Palgrave USA","offers":[{"title":"Default Title","offer_id":48738941600087,"sku":"9781403918819","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem-9781544396408","title":"A Primer on Partial Least Squares Structural","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe third edition of \u003cem\u003eA Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) \u003c\/em\u003eguides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity. \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface About the Authors Chapter 1. An Introduction to Structural Equation Modeling    Chapter Preview    What Is Structural Equation Modeling?    Considerations in Using Structural Equation Modeling    Principles of Structural Equation Modeling    PLS-SEM, CB-SEM, and Regressions Based on Sum Scores    Considerations When Applying PLS-SEM    Guidelines for Choosing Between PLS-SEM and CB-SEM    Organization of Remaining Chapters    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Chapter 2. Specifying the Path Model and Examining Data    Chapter Preview    Stage 1: Specifying the Structural Model    Stage 2: Specifying the Measurement Models    Stage 3: Data Collection and Examination    Case Study Illustration—Specifying the PLS-SEM Model    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Chapter 3. Path Model Estimation    Chapter Preview    Stage 4: Model Estimation and the PLS-SEM Algorithm    Case Study Illustration—PLS Path Model Estimation (Stage 4)    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Chapter 4. Assessing PLS-SEM Results—Part I: Evaluation of the Reflective Measurement Models    Chapter Preview    Overview of Stage 5: Evaluation of Measurement Models    Stage 5a: Assessing Results of Reflective Measurement Models    Case Study Illustration—Evaluation of the Reflective Measurement Models (Stage 5a)    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Chapter 5. Assessing PLS-SEM Results—Part II: Evaluation of the Formative Measurement Models    Chapter Preview    Stage 5b: Assessing Results of Formative Measurement Models    Case Study Illustration—Evaluation of the Formative Measurement Models (Stage 5b)    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Chapter 6. Assessing PLS-SEM Results—Part III: Evaluation of the Structural Model    Chapter Preview    Stage 6: Structural Model Results Evaluation    Case Study Illustration—Evaluation of the Structural Model (Stage 6)    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Chapter 7. Mediator and Moderator Analysis    Chapter Preview    Mediation    Moderation    Case Study Illustration—Moderation    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Chapter 8. Outlook on Advanced Methods    Chapter Preview    Importance-Performance Map Analysis    Necessary Condition Analysis    Higher-Order Constructs    Confirmatory Tetrad Analysis    Examining Endogeneity    Treating Observed and Unobserved Heterogeneity    Measurement Model Invariance    Consistent PLS-SEM    Summary    Review Questions    Critical Thinking Questions    Key Terms    Suggested Readings Glossary References Index","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48740483236183,"sku":"9781544396408","price":57.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781544396408.jpg?v=1720054823"},{"product_id":"manufacturing-operations-management-9781786348104","title":"Manufacturing Operations Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe main purpose of this book is to introduce the essential theories and tools for production (manufacturing operations) management for students in engineering, junior professionals in supply chain and production managers who are starting their career in a manufacturing firm.With a focus on selected key techniques and a practical application of these skills, the book uses a real-world inspired case studies while providing readers with in-depth exploration. Designed as a coaching handbook for instructors or motivated self-learners, it is an ideal resource for project-based learning.It is suitable for graduates in technology management and engineering, and professionals in the field of manufacturing who want to revise their practical knowledge while enhancing theoretical background.","brand":"World Scientific Europe Ltd","offers":[{"title":"Default Title","offer_id":48741447663959,"sku":"9781786348104","price":42.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781786348104.jpg?v=1720057612"},{"product_id":"the-new-era-of-global-services-a-framework-for-successful-enterprises-in-business-services-and-it-9781837536276","title":"The New Era of Global Services: A Framework for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eThe New Era of Global Services \u003c\/em\u003eis the result of interviews with more than seventy international leaders. The results show that in the coming years, Global Services will tend to grow in business-to-business (B2B), business-to-consumer (B2C), peer-to-peer (P2P), an in particular peer-to-business (P2B) relationships. Deciding on locations will be a more flexible process that may include different countries, cities, and even the cloud (virtual sourcing). Therefore, an increase in delocalizing options (multi-sourcing) is expected. As a result, global labour arbitrage will create opportunities not only for secondary cities but also for cells and individuals with outstanding talents and appropriate telecommunication infrastructures. This, in turn, will foster the flourishing of companies with neither human resources of their own, nor a physical presence in a specific location.\u003c\/p\u003e \u003cp\u003eAuthor \u003cstrong\u003eJavier Peña Capobianco \u003c\/strong\u003emakes a compelling case that over the coming twenty years, the companies that thrive will be those which not only embrace technology, but also generate disruptive business models in an authentic digital transformation process. However, only those who place people and their environment at the centre of their business plans will achieve true success. This is an important book for anyone involved in Global Services, as well as business students, entrepreneurs, C-suite professionals, policy makers and business academicians.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction. Introduction\u003cbr\u003e Chapter 1. Importance \u003cbr\u003e Chapter 2. A New Framework for a New Model \u003cbr\u003e Chapter 3. The Keys to Successful Ventures in the Future \u003cbr\u003e Chapter 4. Social Changes that will Consolidate the Model \u003cbr\u003e Chapter 5. How is an Ecosystem for Global Services Generated? \u003cbr\u003e Chapter 6. Conclusion\u003c\/p\u003e","brand":"Emerald Publishing Limited","offers":[{"title":"Default Title","offer_id":48741929779543,"sku":"9781837536276","price":39.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781837536276.jpg?v=1720059345"},{"product_id":"corporate-resilience-risk-sustainability-and-future-crises-9781837537839","title":"Corporate Resilience: Risk, Sustainability and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe world has gone through profound change since 2019, which has impacted economies, organisations, societies, and ways of working. Now, more than ever, businesses need to be prepared and resilient to large-scale changes. Written by experts, the chapters collected here address various issues such as climate change and the pandemic, suggesting ways in which future crises can be managed successfully and sharing best practice from what we have learned from recent crises.\u003c\/p\u003e \u003cp\u003eThe globally diverse authorship in \u003cem\u003eCorporate Resilience\u003c\/em\u003e brings together a range of perspectives on corporate resilience and crisis management from varying industries to explore this topic in great depth. Areas studied range from building global resilience through sustainable development and social responsibility, to corporate resilience, environmental investment, internet financial reporting and reporting on human rights.\u003c\/p\u003e \u003cp\u003e\u003cem\u003eDevelopments in Corporate Governance and Responsibility\u003c\/em\u003e offers the latest research on topical issues international experts and has practical relevance to business managers.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePart 1. Building Global Resilience \u003cbr\u003e Chapter 1. Resilience, Dynamism and Sustainable Development: Adaptive Organisational Capability through Learning in Recurrent Crises; \u003cem\u003eDianne Bolton, Mohshin Habib, and Terry Landells \u003c\/em\u003e\u003cbr\u003e Chapter 2. Social Aspects of Telework and Organisations during an Unforeseen Crisis; \u003cem\u003eAna Maria Davila Gomez and David Crowther \u003c\/em\u003e\u003cbr\u003e Chapter 3. Building Resilience for a Future Organisation; \u003cem\u003eElaine Conway and Parminder Johal \u003c\/em\u003e\u003cbr\u003e Chapter 4. Rethinking Sustainable Development Under Climate Change in Nigeria: A Strategic Analysis; \u003cem\u003eLukman Raimi and Fatimah Mayowa Lukman \u003c\/em\u003e\u003cbr\u003e Chapter 5. Socio Cultural and Religious Drivers of Corporate Social Responsibility (CSR) in India; \u003cem\u003eAmit Kumar Srivastava, Shailja Dixit, and AkanshaAbhi Srivastava \u003c\/em\u003e\u003cbr\u003e Part 2. Corporate Resilience \u003cbr\u003e Chapter 6. A Paradigm for Examining the Interplay of Environmental Investment, Environmental Disclosure and Firm Performance in China; \u003cem\u003eRuopiao Zhang and Carlos Noronha \u003c\/em\u003e\u003cbr\u003e Chapter 7. Choice of Law and Jurisdiction Uncertainties in E-contract’s Commercial Governance: A Recommendation for Mauritius; \u003cem\u003eAmbareen Beebeejaun and Rajendra Parsad Gunputh \u003c\/em\u003e\u003cbr\u003e Chapter 8. What Shapes Internet Financial Reporting in Africa? Exploring Firm v Country Factors; \u003cem\u003eDineshwar Ramdhony, Oren Mooneeapen, and Ajmal Bakerally \u003c\/em\u003e\u003cbr\u003e Chapter 9. Effectiveness of the Lean Service Principle in controlling the Civil Service Wage Bill: A Case Study of the Government of Eswatini; \u003cem\u003eSabelo G. Sifundza and Md. Humayun Kabir \u003c\/em\u003e\u003cbr\u003e Chapter 10. Towards Sustainable Prosperity for Host Communities: Appraisal of the Nigerian Petroleum Industry Act 2021; \u003cem\u003eVictor Ediagbonya and Comfort Tioluwani \u003c\/em\u003e\u003cbr\u003e Chapter 11. Reporting on Human Rights by Large Corporates: Interplay between Comprehensiveness and Narrative Manipulation; \u003cem\u003eLeana Esterhuyse and Elda du Toit\u003c\/em\u003e\u003c\/p\u003e","brand":"Emerald Publishing Limited","offers":[{"title":"Default Title","offer_id":48741929976151,"sku":"9781837537839","price":85.5,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781837537839.jpg?v=1720059346"},{"product_id":"operational-research-and-networks-9781848210929","title":"Operational Research and Networks","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book presents the principal concepts of operations research (OR), the tools for the planning support and the management of various types of networks. The term \"network\" is meant to include physical networks, for instance road and rail networks, as well as logical networks that are used in the planning of complex projects. In this case, the vertices of the network correspond to activities and the connections describe temporal relations.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eIntroduction ix\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eGerd FINKE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. Linear Programming 1\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eGerd FINKE and Nadia BRAUNER\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1. Fundamental concepts 1\u003c\/p\u003e \u003cp\u003e1.2. Software 9\u003c\/p\u003e \u003cp\u003e1.3. Indivisible units 14\u003c\/p\u003e \u003cp\u003e1.4. Modeling with integer variables 22\u003c\/p\u003e \u003cp\u003e1.5. Conclusion 27\u003c\/p\u003e \u003cp\u003e1.6. Bibliography 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Graphs and Networks 29\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eWojciech BIENIA\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1. The concept of a graph 29\u003c\/p\u003e \u003cp\u003e2.2. Sub-structures and exploration 31\u003c\/p\u003e \u003cp\u003e2.3. Edge-and vertex-connectivity 34\u003c\/p\u003e \u003cp\u003e2.4. Directed graphs 36\u003c\/p\u003e \u003cp\u003e2.5. Valued graphs and networks 37\u003c\/p\u003e \u003cp\u003e2.5.1. The shortest spanning tree problem in a connected graph 37\u003c\/p\u003e \u003cp\u003e2.5.2. The shortest path 41\u003c\/p\u003e \u003cp\u003e2.6. Assignment and coloring 46\u003c\/p\u003e \u003cp\u003e2.6.1. Matchings 46\u003c\/p\u003e \u003cp\u003e2.6.2. Vertex colorings 48\u003c\/p\u003e \u003cp\u003e2.7. Flow in networks 53\u003c\/p\u003e \u003cp\u003e2.8. Conclusion 68\u003c\/p\u003e \u003cp\u003e2.9. Bibliography 68\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. Classical Combinatorial Problems and Solution Techniques 71\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eClarisse DHAENENS, Marie-Laure ESPINOUSE and Bernard PENZ\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 71\u003c\/p\u003e \u003cp\u003e3.2. Classical optimization problems 72\u003c\/p\u003e \u003cp\u003e3.2.1. Introduction 72\u003c\/p\u003e \u003cp\u003e3.2.2. Combinatorial optimization problems in graph theory 72\u003c\/p\u003e \u003cp\u003e3.2.3. Assignment Problems 73\u003c\/p\u003e \u003cp\u003e3.2.4. Transportation problems 74\u003c\/p\u003e \u003cp\u003e3.2.5. Location problems 75\u003c\/p\u003e \u003cp\u003e3.2.6. Scheduling problems 76\u003c\/p\u003e \u003cp\u003e3.3. Complexity 77\u003c\/p\u003e \u003cp\u003e3.4. Solution of hard problems 80\u003c\/p\u003e \u003cp\u003e3.4.1. Introduction 80\u003c\/p\u003e \u003cp\u003e3.4.2. Relaxations 81\u003c\/p\u003e \u003cp\u003e3.4.3. Heuristic methods of construction 81\u003c\/p\u003e \u003cp\u003e3.4.4. Improvement methods 83\u003c\/p\u003e \u003cp\u003e3.4.5. Exact methods 90\u003c\/p\u003e \u003cp\u003e3.5. Conclusion 101\u003c\/p\u003e \u003cp\u003e3.6. Bibliography 102\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Project Scheduling 105\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eLionel DUPONT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1. Presentation 105\u003c\/p\u003e \u003cp\u003e4.1.1. Conducting a project 105\u003c\/p\u003e \u003cp\u003e4.1.2. Definitions 106\u003c\/p\u003e \u003cp\u003e4.1.3. Scheduling methods 108\u003c\/p\u003e \u003cp\u003e4.2. Scheduling and graphs without cycles 108\u003c\/p\u003e \u003cp\u003e4.3. Fundamental problem 113\u003c\/p\u003e \u003cp\u003e4.3.1. Calculation of the earliest dates 113\u003c\/p\u003e \u003cp\u003e4.3.2. Calculation of the latest dates 114\u003c\/p\u003e \u003cp\u003e4.3.3. Margins 116\u003c\/p\u003e \u003cp\u003e4.4. Visualizations 117\u003c\/p\u003e \u003cp\u003e4.4.1. Representation on the graph PERT\/CPM 117\u003c\/p\u003e \u003cp\u003e4.4.2. Gantt chart 118\u003c\/p\u003e \u003cp\u003e4.5. Probabilistic PERT 119\u003c\/p\u003e \u003cp\u003e4.5.1. Analytic solution 120\u003c\/p\u003e \u003cp\u003e4.5.2. Solution by simulation 122\u003c\/p\u003e \u003cp\u003e4.6. Sequencing with disjunctive constraints 123\u003c\/p\u003e \u003cp\u003e4.7. Sequencing with cumultative constraints: serial methods 126\u003c\/p\u003e \u003cp\u003e4.8. Time-cost trade-off problem 131\u003c\/p\u003e \u003cp\u003e4.9. Conclusion 135\u003c\/p\u003e \u003cp\u003e4.10. Bibliography 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Operations Management in Transportation Networks 137\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eJacques DESROSIERS\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction 137\u003c\/p\u003e \u003cp\u003e5.1.1. A bit of history 137\u003c\/p\u003e \u003cp\u003e5.1.2. University–industry: a winning partnership 138\u003c\/p\u003e \u003cp\u003e5.2. Fundamental notions 139\u003c\/p\u003e \u003cp\u003e5.2.1. A common structure 139\u003c\/p\u003e \u003cp\u003e5.2.2. The shortest path problem with time windows 140\u003c\/p\u003e \u003cp\u003e5.2.3. Some mathematics 141\u003c\/p\u003e \u003cp\u003e5.2.4. A generic algorithm 142\u003c\/p\u003e \u003cp\u003e5.3. A mechanism of decomposition 145\u003c\/p\u003e \u003cp\u003e5.3.1. Local restrictions and global constraints 145\u003c\/p\u003e \u003cp\u003e5.3.2. The column generation method 148\u003c\/p\u003e \u003cp\u003e5.3.3. Solutions satisfying the integrality constraints 150\u003c\/p\u003e \u003cp\u003e5.4. Diversity of the local restrictions 151\u003c\/p\u003e \u003cp\u003e5.4.1. A few words on the extension functions 151\u003c\/p\u003e \u003cp\u003e5.4.2. Modeling examples 154\u003c\/p\u003e \u003cp\u003e5.5. Applications in large transportation networks 156\u003c\/p\u003e \u003cp\u003e5.5.1. Urban transportation 156\u003c\/p\u003e \u003cp\u003e5.5.2. Air transportation 157\u003c\/p\u003e \u003cp\u003e5.5.3. Rail transportation 158\u003c\/p\u003e \u003cp\u003e5.6. What does the future look like? 159\u003c\/p\u003e \u003cp\u003e5.7. Bibliography 160\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6. Pickup and Delivery Problems with Services on Nodes or Arcs of a Network 165\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eAlain HERTZ and Michel MITTAZ\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1. Introduction 165\u003c\/p\u003e \u003cp\u003e6.2. Node routing problems 166\u003c\/p\u003e \u003cp\u003e6.2.1. The traveling salesman problem 166\u003c\/p\u003e \u003cp\u003e6.2.2. Vehicle tours with capacity constraints 170\u003c\/p\u003e \u003cp\u003e6.3. Arc routing problems 174\u003c\/p\u003e \u003cp\u003e6.3.1. The Chinese postman problem 174\u003c\/p\u003e \u003cp\u003e6.3.2. The rural postman problem 177\u003c\/p\u003e \u003cp\u003e6.3.3. Arc routing problems with capacity constraints 183\u003c\/p\u003e \u003cp\u003e6.4. Conclusion 185\u003c\/p\u003e \u003cp\u003e6.5. Bibliography 186\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7. Telecommunication Networks 189\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eAlexandre CAMINADA, Jin-Kao HAO, Jean-Luc LUTTON and Vincent MARTIN\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1. Introduction 189\u003c\/p\u003e \u003cp\u003e7.2. Optimal synthesis of backbone networks 190\u003c\/p\u003e \u003cp\u003e7.3. Topology and dimensioning of the nominal network 193\u003c\/p\u003e \u003cp\u003e7.3.1. Descent algorithm 194\u003c\/p\u003e \u003cp\u003e7.3.2. Simulated annealing 197\u003c\/p\u003e \u003cp\u003e7.4. Dimensioning of spare capacities 200\u003c\/p\u003e \u003cp\u003e7.4.1. Non-simultaneous multiflow model and linear programming 200\u003c\/p\u003e \u003cp\u003e7.4.2. Solution of non-simultaneous multiflows by decomposition 203\u003c\/p\u003e \u003cp\u003e7.4.3. Extension of the decomposition model for modular capacities 206\u003c\/p\u003e \u003cp\u003e7.5. Conception of cellular networks 208\u003c\/p\u003e \u003cp\u003e7.6. Antenna positioning and configuration 210\u003c\/p\u003e \u003cp\u003e7.6.1. Multicriteria model 212\u003c\/p\u003e \u003cp\u003e7.6.2. A heuristic for positioning antennas 215\u003c\/p\u003e \u003cp\u003e7.7. Frequency assignment 220\u003c\/p\u003e \u003cp\u003e7.7.1. Modeling by set T-coloring 223\u003c\/p\u003e \u003cp\u003e7.7.2. Solution by evolutionary algorithms 224\u003c\/p\u003e \u003cp\u003e7.8. Conclusion 228\u003c\/p\u003e \u003cp\u003e7.9. Bibliography 229\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8. Mission Planning for Observation Satellites 235\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eVirginie GABREL, Cécile MURAT and Vangelis PASCHOS\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1. Introduction 235\u003c\/p\u003e \u003cp\u003e8.2. Description of the problem of planning satellite shots 237\u003c\/p\u003e \u003cp\u003e8.2.1. Context: image acquisitions – constraints of the satellite used 237\u003c\/p\u003e \u003cp\u003e8.2.2. Problems studied 239\u003c\/p\u003e \u003cp\u003e8.3. Models and formulations of induced combinatorial problems 241\u003c\/p\u003e \u003cp\u003e8.4. Algorithms for MS and MSO 246\u003c\/p\u003e \u003cp\u003e8.4.1. Solving MS 246\u003c\/p\u003e \u003cp\u003e8.4.2. Solving MSO in the discrete case 251\u003c\/p\u003e \u003cp\u003e8.4.3. Solving MSO in the continuous case 251\u003c\/p\u003e \u003cp\u003e8.5. Experiments and numerical results 257\u003c\/p\u003e \u003cp\u003e8.5.1. Performances of approximate algorithms proposed to solve MS 257\u003c\/p\u003e \u003cp\u003e8.5.2. Performances of approximate algorithms proposed to solve MSO 259\u003c\/p\u003e \u003cp\u003e8.6. Conclusion 261\u003c\/p\u003e \u003cp\u003e8.7. Bibliography 261\u003c\/p\u003e \u003cp\u003e\u003ci\u003eList of Authors 263\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIndex 265\u003c\/i\u003e\u003c\/p\u003e","brand":"ISTE Ltd and John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48742234685783,"sku":"9781848210929","price":132.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781848210929.jpg?v=1720060573"},{"product_id":"chaos-complexity-and-leadership-2017-explorations-of-chaos-and-complexity-theory-9783030078843","title":"Chaos, Complexity and Leadership 2017:","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe proceedings of the 2017 Symposium on Chaos, Complexity and Leadership illuminate current research results and academic work from the fields of physics, mathematics, education, economics, as well as management and social sciences. The text explores chaotic and complex systems, as well as chaos and complexity theory in view of their applicability to management and leadership.\u003c\/p\u003e\u003cp\u003eThis proceedings explores non-linearity as well as data-modelling and simulation in order to uncover new approaches and perspectives. Effort will not be spared in bringing theory into practice while exploring leadership and management-laden concepts. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book will cover the analysis of different chaotic developments from different fields within the concepts of chaos and complexity theory. Researchers and students in the field will find answers to questions surrounding these intertwined and compelling fields.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743023378775,"sku":"9783030078843","price":161.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030078843.jpg?v=1720063786"},{"product_id":"managerial-decision-making-a-holistic-approach-9783030280666","title":"Managerial Decision Making: A Holistic Approach","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book develops a general theory of managerial decision making on the basis of a few elementary postulates. It employs logic as the method of reasoning, systems science in general and the systemic \u003ci\u003eYoYo Model\u003c\/i\u003e in particular, as the intuitive playground. By doing so, the authors take individually background-based guesswork out of processes of decision making. All established conclusions are expected to be generally employable in real-life applications. At the same time, the book is user friendly to a wide range of audience, coincides with people's intuition, and provides applicable results and insights for practical purposes.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1. Facing the Challenge Holistically.- Chapter 2. Basics of Systems Science.- Chapter 3. The Dynamics of Market Competition.- Chapter 4. Market Entry and Market Partition.- Chapter 5. What is Happening?- Chapter 6. Successfully Ride Waves of Transient Competitive Advantages.- Chapter 7. Effects of Strategies.- Chapter 8. Impacts of Culture, Structure and Leadership.- Chapter 9. The Procedure that is Supported by Solid Theories.- Chapter 10. International Trade and Firm performance.- Chapter 11 Trade Dumping and Anti-dumping.\u003cbr\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743028457815,"sku":"9783030280666","price":66.49,"currency_code":"GBP","in_stock":true}]},{"product_id":"orienteering-problems-models-and-algorithms-for-vehicle-routing-problems-with-profits-9783030297459","title":"Orienteering Problems: Models and Algorithms for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis tutorial introduces readers to several variants of routing problems with profits. In these routing problems each node has a certain profit, and not all nodes need to be visited. Since the orienteering problem (OP) is by far the most frequently studied problem in this category of routing problems, the book mainly focuses on the OP. In turn, other problems are presented as variants of the OP, focusing on the similarities and differences. The goal of the OP is to determine a subset of nodes to visit and in which order, so that the total collected profit is maximized and a given time budget is not exceeded.The book provides a comprehensive review of variants of the OP, such as the team OP, the team OP with time windows, the profitable tour problem, and the prize-collecting travelling salesperson problem. In addition, it presents mathematical models and techniques for solving these OP variants and discusses their complexity. Several simple examples and benchmark instances, together with their best-known results, are also included. Finally, the book reviews the latest applications of these problems in the fields of logistics, tourism and others.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Definitions and Mathematical Models of Single Vehicle Routing.- Definitions and Mathematical Models of OP Variants.- State-of-the-Art Solution Techniques for PTP and PCTSP.- State-of-the-Art Solution Techniques for OP and TOP.- State-of-the-Art Solution Techniques for OPTW and TOPTW.- Applications of the OP.- Other Orienteering Problem Variants.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743029211479,"sku":"9783030297459","price":64.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"bending-the-law-of-unintended-consequences-a-test-drive-method-for-critical-decision-making-in-organizations-9783030327132","title":"Bending the Law of Unintended Consequences: A","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis title provides managers, executives and other professionals with an innovative method for critical decision-making. The book explains the reasons for decision failures using the Law of Unintended Consequences. This account draws on the work of sociologist Robert K. Merton, psychologists Amos Tversky and Daniel Kahneman, and economist Herbert Simon to identify two primary causes⁠: cognitive biases and bounded rationality. It introduces an innovative method for “test driving” decisions that addresses both causes by combining scenario planning and “what-if” simulations. This method enables professionals to learn safely from virtual mistakes rather than real ones. It also provides four sample test drives of realistic critical decisions as well as two instructional videos to illustrate this new method. This book provides leaders and their support teams with important new tools for analyzing and refining complex decisions that are critical to organizational well-being and survival.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1. Critical decisions.- Chapter 2. The Law of Unintended Consequences (LUC).- Chapter 3. Psychology of Critical Decision-Making.- Chapter 4. Rational Decision-Making.- Chapter 5. Defending Your Critical Decisions…Against You.- Chapter 6. BI, Analytics, and Their Discontents.- Chapter 7. Tools of the Decision Support Trade.- Chapter 8. Test Drive Your Critical Decisions.- Chapter 9. Competitive Marketing Strategy.- Chapter 10. Disruptive Growth.- Chapter 11. Managing Enterprise Risk.- Chapter 12. Enabling Organizational Change.- Chapter 13. Pragmatics.- Chapter 14. Conclusions.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743033373015,"sku":"9783030327132","price":59.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"the-vision-zero-handbook-theory-technology-and-management-for-a-zero-casualty-policy-9783030765040","title":"The Vision Zero Handbook: Theory, Technology and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis open access handbook provides a comprehensive treatment of Vision Zero, an innovative policy on public road safety developed in Sweden. Covering all the major topics of the subject, the book starts out with a thorough examination of the philosophy, ideas and principles behind Vision Zero. It looks at conditions for the effectiveness of the policy, principles of safety and responsibility as well as critique on the policy. Next, the handbook focuses on how the Vision Zero ideas have been received and implemented in various legislations and countries worldwide. It takes into account the way Vision Zero is looked at in the context of international organizations such as the WHO, the UN, and the OECD. This allows for a comparison of systems, models and effects. The third part of the handbook discusses the management and leadership aspects, including ISO standards, equity issues, other goals for traffic and transportation, and opportunities for the car industry. Part four delves into tools, technologies and organizational measures that contribute to the implementation of Vision Zero in road traffic. Examples of specific elements discussed are urban and rural road designs, human factor designs, and avoiding drunk and distracted driving. The final part of the handbook offers perspectives on the transfer of Vision Zero policy to other areas, ranging from air traffic to suicide prevention and nuclear energy. \u003c\/p\u003e  \u003cp\u003eVision Zero is a public road safety policy including both a long-term goal that no one shall be killed or seriously injured as a consequence of accidents in road traffic and a safety principle stating that the design and function of the road transport system shall be adapted to meet the requirements that follow from that goal. It is a new road safety paradigm which has resulted in new types of responsibilities among stakeholders, technological innovations, and new strategies and organizational measures to achieve a safe system. The road safety work based on Vision Zero has shown promising results, and although Sweden has not yet reached a safe system, the number of fatalities and severe injuries has decreased substantially.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis is an open access book.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I: Ideas and Principles.- Part 2: Vision Zero – an International Movement for Traffic Safety.- Part 3: Management and Leadership for Vision Zero.- Part 4: Tools and Technologies for Vision Zero.- Part 5: Vision Zero in Other Areas.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743046938967,"sku":"9783030765040","price":449.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030765040.jpg?v=1723812625"},{"product_id":"stochastic-benchmarking-theory-and-applications-9783030898717","title":"Stochastic Benchmarking: Theory and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and interpretations of the mathematical programs, which are combined with economic and organizational thinking. The book’s main purpose is to shed light on the advantages of the different methods in deterministic and stochastic environments and thoroughly prepare readers to properly use these methods in various cases. Simple examples, along with graphical illustrations and real-world applications in industry, are provided for a better understanding. The models introduced here can be easily used in both theoretical and real-world evaluations.\u003c\/p\u003e  This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Benchmarking.- 2. An Introduction to Data Envelopment Analysis.- 3. Probability Theory.- 4. Stochastic Data Envelopment Analysis.- 5. Stochastic Network Data Envelopment Analysis.- 6. Stochastic Scale Elasticity.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743057293655,"sku":"9783030898717","price":49.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030898717.jpg?v=1720063922"},{"product_id":"the-strategy-planning-process-strategic-analyses-objectives-options-and-projects-9783030939175","title":"The Strategy Planning Process: Strategic","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eStrategic planning is an essential task that helps companies adapt to changes in the environment and to develop proactively. Accordingly, the goal of strategic planning is to ensure companies’ survival and long-term success. \u003c\/p\u003e  \u003cp\u003eThe strategy-planning process proposed in this book is based on the authors’ many years of experience as consultants and board members. The book shows how to carry out sound analyses, how to define concrete strategic objectives, how to develop and assess strategic options and how to determine which implementation projects are necessary. Numerous practical examples serve to illustrate the proposed approach.\u003c\/p\u003e  \u003cp\u003eFor the third edition, the sections on corporate strategy and business strategy development have been redesigned and expanded. Throughout the book, many aspects have been clarified and simplified.\u003c\/p\u003e  \u003cp\u003eThe book provides practitioners the knowledge they need to develop their own strategies. In addition, it offers a valuable textbook on the complex task of strategic planning.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- ​Idea and Process of Strategic Planning: Strategies, Strategic Planning and Success Potentials.- Development of Strategic Planning and Its Integration into Strategic Management.- Strategic Documents.- Strategy Planning Process.- Initializing Strategic Planning: Developing or Revising the Mission Statement.- Defining the Current Strategic Businesses.- Preparing the Strategy Planning Project.- Strategic Analysis at the Corporate Level: Global Environment Analysis.- Portfolio Analysis.- Diagnosing the Strategic Challenges at the Corporate Level.- Developing the Corporate Strategy: Developing and Assessing Strategic Options for the Company.- Defining the Strategic Objectives for the Company.- Formulating the Corporate Strategy.- Developing Project Plans for the Implementation of the Corporate Strategy.- Strategic Analysis of a Business: Identifying the Industry-Specific Success Factors.- Industry Environment Analysis.- Industry Analysis.- Market Analysis.- Analyzing the Competitive Position and the Business Model.- Diagnosing the Strategic Challenges of the Business.- Developing a Business Strategy: Developing and Assessing Strategic Options for the Business.- Defining the Strategic Objectives for the Business.- Formulating the Business Strategy.- Developing Project Plans for the Implementation of the Business Strategy.- Finalizing Strategic Planning: Developing the Functional Strategies.- Final Assessment of All Strategic Guidelines.- Preparing the Strategic Implementation.- Final Remarks.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743060013399,"sku":"9783030939175","price":44.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"public-systems-modeling-methods-for-identifying-and-evaluating-alternative-plans-and-policies-9783030939885","title":"Public Systems Modeling: Methods for Identifying","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis is an open access book discusses readers to various methods of modeling plans and policies that address public sector issues and problems. Written for public policy and social sciences students at the upper undergraduate and graduate level, as well as public sector decision-makers, it demonstrates and compares the development and use of various deterministic and probabilistic optimization and simulation modeling methods for analyzing planning and management issues. These modeling tools offer a means of identifying and evaluating alternative plans and policies based on their physical, economic, environmental, and social impacts. Learning how to develop and use the mathematical modeling tools introduced in this book will give students useful skills when in positions of having to make informed public policy recommendations or decisions.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Analyzing Public Policy Decisions.- 2. Public Sector Systems.- 3. Creating Models.- 4. Modeling Examples and Solutions.- 5. Models for Managing Money.- 6. Solving Models Using Excel.- 7. Discrete Optimization Modeling.- 8. Linear Optimization Modeling.- 9. Some Linearization Methods.- 10. Solving Models Using Calculus.- 11. Lagrangian Models.- 12. Dealing with Uncertainty.- 13. Modeling Stochastic Processes.- 14. Chance Constrained and Monte Carlo Modeling.- 15. Simulation Modeling.- 16. Multi Criteria Analyses.- 17. Fuzzy Optimization.- 18. Conclusions.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743060111703,"sku":"9783030939885","price":31.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030939885.jpg?v=1720063934"},{"product_id":"global-logistics-and-supply-chain-strategies-for-the-2020s-vital-skills-for-the-next-generation-9783030957636","title":"Global Logistics and Supply Chain Strategies for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eLogistics and supply chain management is facing disruptive economic, technological and climate change developments that require new strategies. New technologies such as the Internet-of-Things, digital manufacturing or blockchain are emerging quickly and could provide competitive advantage to those companies that leverage the technologies smartly while managers that do not adopt and embrace change could be left behind. Last but perhaps most important for mankind, sustainability aspects such as low-carbon transportation, closed loop supply chains or socially-responsible supply chain setups will become essential to operate successfully in the future. All these aspects will affect logistics and supply chains as a whole as well as different functional areas such as air cargo, maritime logistics or sourcing\/procurement.\u003c\/p\u003e  \u003cp\u003eThis book aims to dive into several of these functional topics to highlight the key developments in the next decade predicted by leading global experts in the field. It features contributions and key insights of globally leading scholars and senior industry experts. Their forward-looking perspectives on the anticipated trends are aimed at informing the reader about how logistics and supply chain management will evolve in the next decade and which academic qualities and skills will be required to succeed in the \"new normal\" environment that will be characterized by volatile and increasingly disrupted business eco-systems. Future scenarios are envisaged to provide both practitioners and students with insights that will help them to adapt and succeed in a fast changing world.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1. The Future of Logistics and Supply Chain Management: Changing Skill Sets and Smart Career Choices.- Chapter 2. The Impact on Supply Chain Networks of Shifting Demand and Supply Dynamics.- Chapter 3. AI in Logistics and Supply Chain Management.- Chapter 4. How to Design Human-machine Interaction in Next-generation Supply Chain Planning.- Chapter 5. The Circular Economy and Green Supply Chains.- Chapter 6. Preparing Logistics for the Low Carbon Economy.- Chapter 7. The Future of 3PLs.- Chapter 8. Air Cargo Logistics – The Dawning of a Golden Decade?.- Chapter 9. Maritime Logistics for the Next Decade - Challenges, Opportunities and Required Skills.- Chapter 10. Future Directions in City Logistics.- Chapter 11. Recent Advances of Service Supply Chain Management.- Chapter 12. Competence Development, Learning and Change in Supply Chain Management.- Chapter 13. Startups in the Logistics Sector: Value Propositions and Potential Impact.- Chapter 14. Warehousing 2030.- Chapter 15. Future of Procurement - Insights from a Global Survey.- Chapter 16. Agility in Supply Chain Planning and Execution.- Chapter 17. Risk Driven Supply Chain Design - Options and Trade-offs in Complex Environments.- Chapter 18. Supply Chain Transparency Using Blockchain: Benefits, Challenges, and Examples.- Chapter 19. The Potential of Blockchain in SCM - PI Meets Blockchain.- Chapter 20. Collaboration in Humanitarian Operations in the Context of the COVID-19 Pandemic.- Chapter 21. Logistics Challenges and Opportunities in Africa in the 2020s.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743061553495,"sku":"9783030957636","price":59.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"operations-research-a-model-based-approach-9783030971618","title":"Operations Research: A Model-Based Approach","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis is the third edition of a textbook that has been used in a number of undergraduate courses and covers the standard models and techniques used in decision-making in organizations. The main emphasis of the book is on modelling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily based on modelling and makes extensive use of sensitivity analyses. It is the result of the authors’ many years of combined teaching experience.\u003c\/p\u003e  \u003cp\u003eThe third edition includes new topics such as nonlinear programming and reliability theory, as well as additional material on multi-attribute decision-making. Each chapter includes a number of fully solved problems that allow students to practice or self-study. Additional problems are available on the book’s accompanying website.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction.- 2. Linear Programming.- 3. Multiobjective Programming.- 4. Nonlinear Programming.- 5. Integer Linear Programming.- 6. Network Models.- 7. Location Models.- 8. Project Networks.- 9. Machine Scheduling.- 10. Decision Analysis.- 11. Multiattribute Decision Making.- 12. Inventory Models.- 13. Stochastic Processes and Markov Chains.- 14. Reliability Theory.- 15. Waiting Line Models.- 16. Simulation.- 17. Heuristic Methods. ","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743062438231,"sku":"9783030971618","price":56.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"product-lifecycle-management-volume-1-21st-century-paradigm-for-product-realisation-9783030985776","title":"Product Lifecycle Management (Volume 1): 21st","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis fifth edition of “Product Lifecycle Management” updates and adds to the successful fourth edition, the most frequently cited PLM publication. It gives the reader a thorough explanation of Product Lifecycle Management (PLM) and provides them with a full understanding and the skills to implement PLM within their own business environment. This new and expanded edition is fully updated to reflect the many technological and management advances made in PLM since the release of the fourth edition. “Product Lifecycle Management” will broaden the reader’s understanding of PLM, nurturing the skills needed to implement PLM successfully and to achieve world-class product performance across the lifecycle.\u003c\/p\u003e\u003cp\u003eAmong the components of PLM described are product-related business processes, product data, product data management (PDM) systems, other PLM applications, best practices, company objectives and organisation. This book also describes the relationships of PLM with the Internet of Things, Industry 4.0, Digital Twins and Digital Threads. “Product Lifecycle Management” (5th edition) explains what  PLM is, and why it is needed. It describes the environment in which products are ideated, developed, manufactured, supported and retired, before addressing the main components of PLM and PLM Initiatives. Key activities in PLM Initiatives described include organisational change management (OCM) and project management. The final part of the book addresses the PLM Initiative, showing the typical steps and activities of a PLM project or initiative.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eProduct Lifecycle Management.- PLM and its Surroundings.- PLM and Products.- PLM and Business Processes.- PLM and Product Data.- PLM and PDM.- PLM and Product-Related Applications.- PLM, Techniques and Methods.- PLM and the Internet of Things and Industry 4.0.- PLM, Digital Twin and Digital Thread.- PLM and Organisational Change Management.- PLM and Project Management.- PLM and Executives.- PLM and the PLM Initiative.- PLM in Industry.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743063486807,"sku":"9783030985776","price":152.05,"currency_code":"GBP","in_stock":true}]},{"product_id":"graph-and-network-theory-an-applied-approach-using-mathematica-r-9783031038563","title":"Graph and Network Theory: An Applied Approach","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis textbook covers a diversity of topics in graph and network theory, both from a theoretical standpoint, and from an applied modelling point of view. Mathematica® is used to demonstrate much of the modelling aspects. Graph theory and model building tools are developed in tandem with effective techniques for solving practical problems via computer implementation. The book is designed with three primary readerships in mind. Individual syllabi or suggested sequences for study are provided for each of three student audiences: mathematics, applied mathematics\/operations research, and computer science. In addition to the visual appeal of each page, the text contains an abundance of gems. Most chapters open with real-life problem descriptions which serve as motivation for the theoretical development of the subject matter. Each chapter concludes with three different sets of exercises. The first set of exercises are standard and geared toward the more mathematically inclined reader. Many of these are routine exercises, designed to test understanding of the material in the text, but some are more challenging. The second set of exercises is earmarked for the computer technologically savvy reader and offer computer exercises using Mathematica. The final set consists of larger projects aimed at equipping those readers with backgrounds in the applied sciences to apply the necessary skills learned in the chapter in the context of real-world problem solving. Additionally, each chapter offers biographical notes as well as pictures of graph theorists and mathematicians who have contributed significantly to the development of the results documented in the chapter. These notes are meant to bring the topics covered to life, allowing the reader to associate faces with some of the important discoveries and results presented. In total, approximately 100 biographical notes are presented throughout the book.  \u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe material in this book has been organized into three distinct parts, each with a different focus. The first part is devoted to topics in network optimization, with a focus on basic notions in algorithmic complexity and the computation of optimal paths, shortest spanning trees, maximum flows and minimum-cost flows in networks, as well as the solution of network location problems. The second part is devoted to a variety of classical problems in graph theory, including problems related to matchings, edge and vertex traversal, connectivity, planarity, edge and vertex coloring, and orientations of graphs. Finally, the focus in the third part is on modern areas of study in graph theory, covering graph domination, Ramsey theory, extremal graph theory, graph enumeration, and application of the probabilistic method.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface.- List of Algorithms.- List of Bibliographical Notes.- Part 1. Topics in network optimisation.- 1. An introduction to graphs.- 2. Graph connectedness.- 3. Algorithmic complexity.- 4. Optimal paths.- 5. Trees.- 6. Location problems.- 7. Maximum flow networks.- 8. Minimum-cost network flows.- Part 2. Topics in classical graph theory.- 9. Matchings.- 10. Eulerian graphs.- 11. Hamiltonian graphs.- 12. Graph connectivity.- 13. Planarity.- 14. Graph colouring.- 15. Oriented graphs. Part 3. Topics in modern graph theory.- 16. Domination in graphs.- 17. Ramsey Theory.-  18. Extremal graph theory.- 19. Graph enumeration.- 20. The probabilistic method.- Index.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743065321815,"sku":"9783031038563","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031038563.jpg?v=1720063959"},{"product_id":"introduction-to-combinatorial-optimization-9783031105944","title":"Introduction to Combinatorial Optimization","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroductory courses in combinatorial optimization are popular at the upper undergraduate\/graduate levels in computer science, industrial engineering, and business management\/OR, owed to its wide applications in these fields. There are several published textbooks that treat this course and the authors have used many of them in their own teaching experiences.  This present text fills a gap and is organized with a stress on methodology and relevant content, providing a step-by-step approach for the student to become proficient in solving combinatorial optimization problems. Applications and problems are considered via recent technology developments including wireless communication, cloud computing, social networks, and machine learning, to name several, and the reader is led to the frontiers of combinatorial optimization. Each chapter presents common problems, such as minimum spanning tree, shortest path, maximum matching, network flow, set-cover, as well as key algorithms, such as greedy algorithm, dynamic programming, augmenting path, and divide-and-conquer. Historical notes, ample exercises in every chapter, strategically placed graphics, and an extensive bibliography are amongst the gems of this textbook.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“This book introduces combinatorial optimization with a methodology-oriented organization. It targets undergraduate and graduate students and contains a good mix of theoretical results (with proof) and examples, which helps the reader acquire ideas and concepts. The chapters end with a list of exercises for the students.” (Francisco Chicano, Mathematical Reviews, January, 2024)\u003cbr\u003e“The book can appropriately be used as a textbook in a graduate course. All the algorithms are clearly explained and presented. It is a very valuable book for successful application of real problems from combinatorial optimization. … this book is an excellent contribution to the field of combinatorial optimization, and it is highly recommended to the students and researchers in optimization.” (Samir Kumar Neogy, zbMATH 1512.90001, 2023)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction.-2. Divide-and-Conquer.- 3. Dynamic Programming and Shortest Path.- 4. Greedy Algorithm and Spanning Tree.- 5. Incremental Method and Maximum Network Flow.- 6. Linear Programming.- 7. Primal-Dual Methods and Minimum Cost Flow.- 8. NP-hard Problems and Approximation Algorithms.- 9. Restriction and Steiner Tree.- 10. Greedy Approximation and Submodular Optimization.- 11. Relaxation and Rounding. 12. Nonsubmodular Optimization.- Bibliography.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743069811031,"sku":"9783031105944","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031105944.jpg?v=1720063980"},{"product_id":"introduction-to-combinatorial-optimization-9783031116841","title":"Introduction to Combinatorial Optimization","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroductory courses in combinatorial optimization are popular at the upper undergraduate\/graduate levels in computer science, industrial engineering, and business management\/OR, owed to its wide applications in these fields. There are several published textbooks that treat this course and the authors have used many of them in their own teaching experiences.  This present text fills a gap and is organized with a stress on methodology and relevant content, providing a step-by-step approach for the student to become proficient in solving combinatorial optimization problems. Applications and problems are considered via recent technology developments including wireless communication, cloud computing, social networks, and machine learning, to name several, and the reader is led to the frontiers of combinatorial optimization. Each chapter presents common problems, such as minimum spanning tree, shortest path, maximum matching, network flow, set-cover, as well as key algorithms, such as greedy algorithm, dynamic programming, augmenting path, and divide-and-conquer. Historical notes, ample exercises in every chapter, strategically placed graphics, and an extensive bibliography are amongst the gems of this textbook.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“This book introduces combinatorial optimization with a methodology-oriented organization. It targets undergraduate and graduate students and contains a good mix of theoretical results (with proof) and examples, which helps the reader acquire ideas and concepts. The chapters end with a list of exercises for the students.” (Francisco Chicano, Mathematical Reviews, January, 2024)\u003cbr\u003e“The book can appropriately be used as a textbook in a graduate course. All the algorithms are clearly explained and presented. It is a very valuable book for successful application of real problems from combinatorial optimization. … this book is an excellent contribution to the field of combinatorial optimization, and it is highly recommended to the students and researchers in optimization.” (Samir Kumar Neogy, zbMATH 1512.90001, 2023)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction.-2. Divide-and-Conquer.- 3. Dynamic Programming and Shortest Path.- 4. Greedy Algorithm and Spanning Tree.- 5. Incremental Method and Maximum Network Flow.- 6. Linear Programming.- 7. Primal-Dual Methods and Minimum Cost Flow.- 8. NP-hard Problems and Approximation Algorithms.- 9. Restriction and Steiner Tree.- 10. Greedy Approximation and Submodular Optimization.- 11. Relaxation and Rounding. 12. Nonsubmodular Optimization.- Bibliography.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743070630231,"sku":"9783031116841","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031116841.jpg?v=1720063981"},{"product_id":"design-of-heuristic-algorithms-for-hard-optimization-with-python-codes-for-the-travelling-salesman-problem-9783031137136","title":"Design of Heuristic Algorithms for Hard","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance.\u003cbr\u003e \u003cbr\u003e The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, which illustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I: Combinatorial Optimization, Complexity Theory and Problem Modelling.- 1. Elements of Graphs and Complexity Theory.- 2. A Short List of Combinatorial Optimization Problems.- 3. Problem Modelling.- Part II: Basic Heuristic Techniques.- 4. Constructive Methods.- 5. Local Search.- 6. Decomposition Methods.- Part III: Popular Metaheuristics.- 7. Randomized Methods.- 8. Construction Learning.- 9. Local Search Learning.- 10. Population Management.- 11. Heuristics Design.- 12. Codes.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743072104791,"sku":"9783031137136","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031137136.jpg?v=1720063985"},{"product_id":"interpretability-in-deep-learning-9783031206382","title":"Interpretability in Deep Learning","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic. \u003c\/p\u003eThe book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1 INTRODUCTION\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e1.1 Deep Learning Glossary \u003c\/p\u003e  \u003cp\u003e1.2 Evolution of Deep Learning \u003c\/p\u003e  \u003cp\u003e1.2.1 Neural Learning \u003c\/p\u003e  \u003cp\u003e1.2.2 Fuzzy Learning \u003c\/p\u003e  \u003cp\u003e1.2.3 Convergence of Fuzzy Logic and Neural Learning \u003c\/p\u003e  \u003cp\u003e1.2.4 Synergy of Neuroscience and Deep Learning \u003c\/p\u003e  \u003cp\u003e1.3 Awakening of Interpretability \u003c\/p\u003e  \u003cp\u003e1.3.1 Relevance \u003c\/p\u003e  \u003cp\u003e1.3.2 Necessity \u003c\/p\u003e  \u003cp\u003e1.3.3 The Taxonomy of Interpretability \u003c\/p\u003e  \u003cp\u003e1.4 The Question of Interpretability \u003c\/p\u003e  \u003cp\u003e1.4.1 Interpretability - Metaverse \u003c\/p\u003e  \u003cp\u003e1.4.2 Interpretability - The Right Tool \u003c\/p\u003e  1.4.3 Interpretability - The Wrong Tool \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e2 NEURAL NETWORKS FOR DEEP LEARNING \u003c\/p\u003e  \u003cp\u003e2.1 Neural Network Architectures \u003c\/p\u003e  \u003cp\u003e2.1.1 Perceptron \u003c\/p\u003e  \u003cp\u003e2.1.2 Artificial Neural Network \u003c\/p\u003e  \u003cp\u003e2.1.3 Recurrent Neural Network \u003c\/p\u003e  \u003cp\u003e2.1.4 Convolutional Neural Network \u003c\/p\u003e  \u003cp\u003e2.1.5 Autoencoder Neural Network \u003c\/p\u003e  \u003cp\u003e2.1.6 Generative Adversarial Network \u003c\/p\u003e  \u003cp\u003e2.1.7 Graph Neural Network \u003c\/p\u003e  \u003cp\u003e2.2 Learning Mechanisms \u003c\/p\u003e  \u003cp\u003e2.2.1 Activation function \u003c\/p\u003e  \u003cp\u003e2.2.2 Forward Propagation \u003c\/p\u003e  \u003cp\u003e2.2.3 Backpropagation \u003c\/p\u003e  2.2.4 Gradient Descent \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e2.2.5 Learning Rate \u003c\/p\u003e  \u003cp\u003e2.2.6 Optimization \u003c\/p\u003e  \u003cp\u003e2.2.7 Initialization \u003c\/p\u003e  \u003cp\u003e2.2.8 Regularization \u003c\/p\u003e  \u003cp\u003e2.3 Challenges and Limitations of Traditional Techniques \u003c\/p\u003e  \u003cp\u003e2.3.1 Resource-Demanding Checks \u003c\/p\u003e  \u003cp\u003e2.3.2 Uncertainty Measure \u003c\/p\u003e  \u003cp\u003e2.3.3 Network Learning Sanity Check \u003c\/p\u003e  \u003cp\u003e2.3.4 Gradient Checks \u003c\/p\u003e  \u003cp\u003e2.3.5 Decision Transparency \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e3 KNOWLEDGE ENCODING AND INTERPRETATION\u003c\/p\u003e  \u003cp\u003e3.1 What is Knowledge?\u003c\/p\u003e  \u003cp\u003e3.1.1 Image Representation\u003c\/p\u003e  \u003cp\u003e3.1.2 Word Representation \u003c\/p\u003e  \u003cp\u003e3.1.3 Graph Representation \u003c\/p\u003e  \u003cp\u003e3.2 Knowledge Encoding and Architectural Understanding \u003c\/p\u003e  \u003cp\u003e3.2.1 Role of Neurons \u003c\/p\u003e  \u003cp\u003e3.2.2 Role of Layers \u003c\/p\u003e  \u003cp\u003e3.2.3 Role of Explanation \u003c\/p\u003e  \u003cp\u003e3.2.4 Semantic Understanding \u003c\/p\u003e  \u003cp\u003e3.2.5 Network Understanding \u003c\/p\u003e  \u003cp\u003e3.3 Design and Analysis of Interpretability \u003c\/p\u003e  \u003cp\u003e3.3.1 Divide and Conquer \u003c\/p\u003e  \u003cp\u003e3.3.2 Greedy \u003c\/p\u003e  \u003cp\u003e3.3.3 Back-tracking \u003c\/p\u003e  \u003cp\u003e3.3.4 Dynamic \u003c\/p\u003e  \u003cp\u003e3.3.5 Branch and Bound \u003c\/p\u003e  \u003cp\u003e3.3.6 Brute-force \u003c\/p\u003e  \u003cp\u003e3.4 Knowledge Propagation in Deep Network Optimizers\u003c\/p\u003e  \u003cp\u003e3.4.1 Knowledge versus Performance \u003c\/p\u003e  \u003cp\u003e3.4.2 Deep versus Shallow Encoding \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e4 INTERPRETATION IN SPECIFIC DEEP ARCHITECTURES \u003c\/p\u003e  \u003cp\u003e4.1 Interpretation in Convolution Networks \u003c\/p\u003e  \u003cp\u003e4.1.1 Case Study: Image Representation by Unmasking Clever Hans \u003c\/p\u003e  \u003cp\u003e4.1.2 Variants of CNNs \u003c\/p\u003e  \u003cp\u003e4.1.3 Interpretation of CNNs\u003c\/p\u003e  \u003cp\u003e4.1.4 Review: CNN Visualization Techniques \u003c\/p\u003e  \u003cp\u003e4.1.5 Review: CNN Adversarial Techniques \u003c\/p\u003e  \u003cp\u003e4.1.6 Inverse Image Representation \u003c\/p\u003e  \u003cp\u003e4.1.7 Case study: Superpixels Algorithm \u003c\/p\u003e  \u003cp\u003e4.1.8 Activation Grid and Activation Map \u003c\/p\u003e  4.1.9 Convolution Trace \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e4.2 Interpretation in Autoencoder Networks \u003c\/p\u003e  \u003cp\u003e4.2.1 Visualization of Latent Space \u003c\/p\u003e  \u003cp\u003e4.2.2 Sparsity and Interpretation \u003c\/p\u003e  \u003cp\u003e4.2.3 Case Study: Microscopy Structure to Structure Learning \u003c\/p\u003e  \u003cp\u003e4.3 Interpretation in Adversarial Networks \u003c\/p\u003e  \u003cp\u003e4.3.1 Interpretation in Generative Network \u003c\/p\u003e  \u003cp\u003e4.3.2 Interpretation in Latent Spaces \u003c\/p\u003e  \u003cp\u003e4.3.3 Evaluation Metrics \u003c\/p\u003e  \u003cp\u003e4.3.4 Case study: Digital Staining of Microscopy Images \u003c\/p\u003e  \u003cp\u003e4.4 Interpretation in Graph Networks \u003c\/p\u003e  \u003cp\u003e4.4.1 Neural Structured Learning \u003c\/p\u003e  \u003cp\u003e4.4.2 Graph Embedding and Interpretability \u003c\/p\u003e  \u003cp\u003e4.4.3 Evaluation Metrics for Interpretation \u003c\/p\u003e  \u003cp\u003e4.4.4 Disentangled Representation Learning on Graphs \u003c\/p\u003e  \u003cp\u003e4.4.5 Future Direction \u003c\/p\u003e  \u003cp\u003e4.5 Self-Interpretable Models \u003c\/p\u003e  \u003cp\u003e4.6 Pitfalls of Interpretability Methods \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e5 FUZZY DEEP LEARNING \u003c\/p\u003e  \u003cp\u003e5.1 Fuzzy Theory \u003c\/p\u003e  \u003cp\u003e5.1.1 Fuzzy Sets and Fuzzy Membership \u003c\/p\u003e  \u003cp\u003e5.1.2 Fuzzification and Defuzzification \u003c\/p\u003e  \u003cp\u003e5.1.3 Fuzzy Rules and Inference Systems \u003c\/p\u003e  \u003cp\u003e5.2 Neuro-Fuzzy Inference Systems \u003c\/p\u003e  \u003cp\u003e5.2.1 Architecture of a Neuro-Fuzzy Inference System \u003c\/p\u003e  5.2.2 Other Design Elements of Neuro-Fuzzy Inference Systems \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5.2.3 Learning mechanisms for Neuro-Fuzzy Inference Systems \u003c\/p\u003e  \u003cp\u003e5.2.4 Online Learning with Dynamic Streaming Data \u003c\/p\u003e  \u003cp\u003e5.3 Case studies\u003c\/p\u003e  \u003cp\u003e5.3.1 POPFNN Family of NFS − evolution towards sophisticated brain-like\u003c\/p\u003e  \u003cp\u003elearning \u003c\/p\u003e  \u003cp\u003e5.3.2 Combining Conventional Deep Learning and Fuzzy Learning \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eA Mathematical models and theories\u003c\/p\u003e  \u003cp\u003eA.1 Choquet Integral\u003c\/p\u003e  \u003cp\u003eA.1.1 Restricting the Scope of FM\/ChI \u003c\/p\u003e  \u003cp\u003eA.1.2 ChI Understanding from NN \u003c\/p\u003e  \u003cp\u003eA.2 Deformation Invariance Property \u003c\/p\u003e  \u003cp\u003eA.3 Distance Metrics \u003c\/p\u003e  \u003cp\u003eA.4 Grad Weighted Class Activation Mapping \u003c\/p\u003e  \u003cp\u003eA.5 Guided Saliency\u003c\/p\u003e  \u003cp\u003eA.6 Jensen-Shanon Divergence \u003c\/p\u003e  \u003cp\u003eA.7 Kullback-Leibler Divergence \u003c\/p\u003e  \u003cp\u003eA.8 Projected Gradient Descent \u003c\/p\u003e  \u003cp\u003eA.9 Pythagorean Fuzzy Number \u003c\/p\u003e  \u003cp\u003eA.10 Targeted Adversarial Attack \u003c\/p\u003e  \u003cp\u003eA.11 Translation Invariance Property \u003c\/p\u003e  \u003cp\u003eA.12 Universal Approximation Theorem \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eA List of digital resources and examples \u003c\/p\u003e  \u003cp\u003eReferences .\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743075742039,"sku":"9783031206382","price":116.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031206382.jpg?v=1720064003"},{"product_id":"the-illusion-of-control-project-data-computer-algorithms-and-human-intuition-for-project-management-and-control-9783031317842","title":"The Illusion of Control: Project Data, Computer","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book comprehensively assesses the growing importance of project data for project scheduling, risk analysis and control. It discusses the relevance of project data for both researchers and professionals, and illustrates why the collection, processing and use of such data is not as straightforward as most people think. The theme of this book is known in the literature as data-driven project management and includes the discussion of using computer algorithms, human intuition, and project data for managing projects under risk.\u003c\/p\u003e  The book reviews the basic components of data-driven project management by summarizing the current state-of-the-art methodologies, including the latest computer and machine learning algorithms and statistical methodologies, for project risk and control. It highlights the importance of artificial project data for academics, and describes the specific requirements such data must meet. In turn, the book discusses a wide variety of statistical methods available to generate these artificial data and shows how they have helped researchers to develop algorithms and tools to improve decision-making in project management. Moreover, it examines the relevance of project data from a professional standpoint and describes how professionals should collect empirical project data for better decision-making. Finally, the book introduces a new approach to data collection, generation, and analysis for creating project databases, making it relevant for academic researchers and professional project managers alike.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eA tentative ToC is available. Please refer to the attachment.\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743080952151,"sku":"9783031317842","price":85.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031317842.jpg?v=1720064026"},{"product_id":"combinatorial-models-for-scheduling-sports-tournaments-9783031372827","title":"Combinatorial Models for Scheduling Sports","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book introduces solutions for sports scheduling problems in a variety of settings. In particular the book covers timetabling, the traveling tournament problem, carryover minimization, breaks minimization, tournament design, tournament planning, and referee assignment. A rich selection of applications to sports such as football, baseball, basketball, cricket or hockey are employed to illustrate the methods and techniques. In a step-by-step tutorial format the book describes the use of graph theory concepts, local search operators and integer programming in the context of sports scheduling. \u003c\/p\u003e  The methods presented in this book are essential to sports scheduling in all its dimensions, from tournaments that are followed by millions of people across the world, with broadcast rights that amount to hundreds of millions of dollars in some competitions, to amateur leagues that require coordination and logistical efforts due to the large number of tournaments and competitors.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eLeagues, tournaments, and schedules.-  Combinatorial structures.- Metaheuristics and local search.- Integer programming approaches.- Case studies. ","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743084065111,"sku":"9783031372827","price":89.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031372827.jpg?v=1720064041"},{"product_id":"operational-logistics-the-art-and-science-of-sustaining-military-operations-9783319226736","title":"Operational Logistics: The Art and Science of","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book explores the theoretical foundations and applications of military operational logistics (OpLog). OpLog theory has two facets: qualitative and quantitative.The qualitative facet is imbedded in the theory of operational level of war or operational art. It includes principles, imperatives and tenets, which are stated and analyzed in the first few chapters. The quantitative facet relates to the scientific aspects of OpLog. It is manifested by formal network models representing structural and operational features of an OpLog system. The book examines the two facets and integrates them into a unified presentation. Important OpLog applications a re described and discussed.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eChapter 1 presents a general introduction to military logistics. Chapter 2 discusses the px;font-family: monospace;\"\u0026gt;general structure and characteristics of logistics and describes its three levels – strategic, operational and tactical. Chapter 3 describes the foundation of OpLog. Chapter 4 deals with OpLog planning. Chapter 5 addresses the issue of logistic information, and Chapter 6 deals with forecasting logistic demands. Chapters 7 and 8 are new additions to this second edition. They address logistics aspects of two contemporary operational topics – insurgencies and humanitarian assistance.Chapter 9 describes the first version of the logistic network model. Chapter 10 addresses an important OpLog characteristic – Flexibility. Chapter 11 discusses two major challenges in OpLog practice: force accumulation, 4419px; font-family: monospace;\"\u0026gt;and medical treatment and evacuation. Chapter 12 presents an inter-temporal network optimization model designed to determine deployment and employment of 3333px;font-family: monospace;\"\u0026gt;the OpLog support chain during military operations.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Structure, Terminology and Analytic Tools.- The Foundation of Operational Logistics.- Planning.- Information.- Forecasting Logistic Demands.- Insurgency and Counterinsurgency Logistics.- Humanitarian Logistics.- The Visual Network Model.- OpLog Flexibility.- Two Critical OpLog Functions.- Optimizing Logistic Networks.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743092945239,"sku":"9783319226736","price":56.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783319226736.jpg?v=1720064079"},{"product_id":"an-introduction-to-metaheuristics-for-optimization-9783319930725","title":"An Introduction to Metaheuristics for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. \u003c\/p\u003e  \u003cp\u003eThis textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“I would recommend this book for students in the area of operations research, but also for students and professionals from other fields (like natural sciences or social sciences) who would like not only to apply metaheuristics to solve the problems … but also to understand how they work.” (Marcin Anholcer, zbMATH 1427.90001, 2020)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eProblems, Algorithms, Computational Complexity.- Search Space.- Tabu Search.- Simulated Annealing.- Ant Colony Optimization (ACO).- Non-PSO Optimization.- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights.- Evolutionary Algorithms: Foundations.- Evolutionary Algorithms: Advanced.- Phase Transition in Optimization Problems.- Performance and Limitations of Metaheuristics.- Statistical Analysis of Research Spaces.\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743109656919,"sku":"9783319930725","price":40.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783319930725.jpg?v=1720064151"},{"product_id":"convex-analysis-and-minimization-algorithms-ii-advanced-theory-and-bundle-methods-9783642081620","title":"Convex Analysis and Minimization Algorithms II:","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eFrom the reviews: \"The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books...that they are designed not for the expert, but for those who whish to learn the subject matter starting from little or no background...there are numerous examples, and counter-examples, to back up the theory...To my knowledge, no other authors have given such a clear geometric account of convex analysis.\" \"This innovative text is well written, copiously illustrated, and accessible to a wide audience\"\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eFrom the reviews: \"The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books. . . [is] that they are designed not for the expert, but for those who wish to learn the subject matter starting from little or no background...there are numerous examples, and counter-examples, to back up the theory...To my knowledge, no other authors have given such a clear geometric account of convex analysis.\" \"This innovative text is well written, copiously illustrated, and accessible to a wide audience\"\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIX. Inner Construction of the Subdifferential.- X. Conjugacy in Convex Analysis.- XI. Approximate Subdifferentials of Convex Functions.- XII. Abstract Duality for Practitioners.- XIII. Methods of ?-Descent.- XIV. Dynamic Construction of Approximate Subdifferentials: Dual Form of Bundle Methods.- XV. Acceleration of the Cutting-Plane Algorithm: Primal Forms of Bundle Methods.- Bibliographical Comments.- References.","brand":"Springer-Verlag Berlin and Heidelberg GmbH \u0026 Co. KG","offers":[{"title":"Default Title","offer_id":48743133577559,"sku":"9783642081620","price":104.49,"currency_code":"GBP","in_stock":true}]},{"product_id":"rational-analysis-for-a-problematic-world-revisited-9780471495239","title":"Rational Analysis for a Problematic World","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003ePlanning and management is increasingly problematic in the real-world environment of spiralling change and uncertainty. Knowledge is incomplete, values are in dispute and the decisions of others are often unpredictable.  \u003cp\u003eProblem structuring methods (PSMs) are now widely accepted within Operational Research and the systems movement, and have generated an impressive record of high-profile applications. This new edition provides easier access to PSMs. Each of five methods is presented from both a theoretical and a practical perspective. The justification for each approach is explained, and an illustration of applying each method is given in a practical case study. New topics in line with the many advances in the field of problem structuring methods are explored and multimethodology is introduced for the first time.\u003c\/p\u003e \u003cp\u003eThis book does not peddle methods for optimum solutions, but instead shows you how to facilitate an enriched and fluid decision-making process. Participatory methods \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"…I have no hesitation in recommending the text to anyone interested in the current state of theory and practice…\" (Systems Research \u0026amp; Behavioural Science, July\/August 2002)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eContributors vii\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgements xvii\u003c\/p\u003e \u003cp\u003e1 A New Paradigm of Analysis 1\u003cbr\u003e\u003ci\u003eJonathan Rosenhead and John Mingers\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 SODA – The Principles 21\u003cbr\u003e\u003ci\u003eColin Eden and Fran Ackermann\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 SODA – Journey Making and Mapping in Practice 43\u003cbr\u003e\u003ci\u003eFran Ackermann and Colin Eden\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Soft Systems Methodology 61\u003cbr\u003e\u003ci\u003ePeter Checkland\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Soft Systems Methodology in Action: Participative Creation of an Information Strategy for an Acute Hospital 91\u003cbr\u003e\u003ci\u003ePeter Checkland\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 The Strategic Choice Approach 115\u003cbr\u003e\u003ci\u003eJohn Friend\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Gambling with Frozen Fire? 151\u003cbr\u003e\u003ci\u003eAllen Hickling\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Robustness Analysis: Keeping Your Options Open 181\u003cbr\u003e\u003ci\u003eJonathan Rosenhead\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Robustness to the First Degree 209\u003cbr\u003e\u003ci\u003eJonathan Rosenhead\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Drama Theory and Confrontation Analysis 225\u003cbr\u003e\u003ci\u003ePeter Bennett, Jim Bryant and Nigel Howard\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 The M\u0026amp;A Play: Using Drama Theory for Mergers and Acquisitions 249\u003cbr\u003e\u003ci\u003eNigel Howard\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 An Overview of Related Methods: VSM, System Dynamics, and Decision Analysis 267\u003cbr\u003e\u003ci\u003eJohn Mingers and Jonathan Rosenhead\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Multimethodology – Mixing and Matching Methods 289\u003cbr\u003e\u003ci\u003eJohn Mingers\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Mixing Methods in Practice 311\u003cbr\u003e\u003ci\u003eRichard Ormerod\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Diverse Unity: Looking Inward and Outward 337\u003cbr\u003e\u003ci\u003eJohn Mingers and Jonathan Rosenhead\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 357\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48864649281879,"sku":"9780471495239","price":51.25,"currency_code":"GBP","in_stock":true}]},{"product_id":"learning-microsoft-power-bi-9781098112844","title":"Learning Microsoft Power Bi","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis streamlined intro to Microsoft Power BI covers all the foundational aspects and features you need to go from \"zero to hero\" with data and visualizations.","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":48866331361623,"sku":"9781098112844","price":39.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781098112844.jpg?v=1722278167"},{"product_id":"artificial-intelligence-in-practice-9781119548218","title":"Artificial Intelligence in Practice","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 Artificial Intelligence Trailblazers\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Alibaba: Using Artificial Intelligence To Power The Retail And Business-To-Business Services Of The Future 13\u003c\/p\u003e \u003cp\u003e2 Alphabet and Google: Maximizing The Potential Of Artificial Intelligence 21\u003c\/p\u003e \u003cp\u003e3 Amazon: Using Deep Learning To Drive Business Performance 29\u003c\/p\u003e \u003cp\u003e4 Apple: Integrating AI Into Products And Protecting User Privacy 37\u003c\/p\u003e \u003cp\u003e5 Baidu: Machine Learning For Search Engines And Autonomous Cars 43\u003c\/p\u003e \u003cp\u003e6 Facebook: Using Artificial Intelligence To Improve Social Media Services 49\u003c\/p\u003e \u003cp\u003e7 IBM: Cognitive Computing Helps Machines Debate With Humans 55\u003c\/p\u003e \u003cp\u003e8 JD.com: Automating Retail With Artificial Intelligence 61\u003c\/p\u003e \u003cp\u003e9 Microsoft: Making Artificial Intelligence Part Of The Fabric Of Everyday Life 69\u003c\/p\u003e \u003cp\u003e10 Tencent: Using Artificial Intelligence To Power We Chat And Healthcare 75\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 Retail, Consumer Goods and Food and Beverage Companies \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11 Burberry: Using Artificial Intelligence To Sell Luxury 83\u003c\/p\u003e \u003cp\u003e12 Coca-Cola: Using Artificial Intelligence To Stay At The Top Of The Soft Drinks Market 87\u003c\/p\u003e \u003cp\u003e13 Domino’s: Using Artificial Intelligence To Serve Up Hundreds Of Thousands Of Pizzas Every Day 93\u003c\/p\u003e \u003cp\u003e14 Kimberly-Clark: Using AI To Make Sense Of Customer Data 99\u003c\/p\u003e \u003cp\u003e15 McDonald’s: Using Robots And Artificial Intelligence To Automate Processes 105\u003c\/p\u003e \u003cp\u003e16 Samsung: Automating The Home And Workplace With Artificial Intelligence 111\u003c\/p\u003e \u003cp\u003e17 Starbucks: Using Artificial Intelligence To Sell Millions Of Coffees Every Day 117\u003c\/p\u003e \u003cp\u003e18 Stitch Fix: Combining The Power Of Artificial Intelligence And Humans To Disrupt Fashion Retail 123\u003c\/p\u003e \u003cp\u003e19 Unilever: Using Artificial Intelligence To Streamline Recruiting And Onboarding 129\u003c\/p\u003e \u003cp\u003e20 Walmart: Using Artificial Intelligence To Keep Shelves Stacked And Customers Happy 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 Media, Entertainment and Telecom Companies \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21 The Walt Disney Company: Using Artificial Intelligence To Make Magical Memories 143\u003c\/p\u003e \u003cp\u003e22 Instagram: Using Artificial Intelligence To Tackle Online Bullying 149\u003c\/p\u003e \u003cp\u003e23 LinkedIn: Using Artificial Intelligence To Solve The Skills Crisis 155\u003c\/p\u003e \u003cp\u003e24 Netflix: Using Artificial Intelligence To Give Us A Better TV Experience 161\u003c\/p\u003e \u003cp\u003e25 Press Association: Using Artificial Intelligence To Cover Local News Stories 167\u003c\/p\u003e \u003cp\u003e26 Spotify: Using Artificial Intelligence To Find New Music You Will Love 173\u003c\/p\u003e \u003cp\u003e27 Telefonica: Using Artificial Intelligence To Connect The Unconnected 179\u003c\/p\u003e \u003cp\u003e28 Twitter: Using Artificial Intelligence To Fight Fake News And Spambots 185\u003c\/p\u003e \u003cp\u003e29 Verizon: Using Machine Learning To Assess Service Quality 191\u003c\/p\u003e \u003cp\u003e30 Viacom: Using Artificial Intelligence To Stream Videos Faster And Improve Customer Experience 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Services, Financial and Healthcare Companies \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e31 American Express: Using Artificial Intelligence To Detect Fraud And Improve Customer Experience 205\u003c\/p\u003e \u003cp\u003e32 Elsevier: Using Artificial Intelligence To Improve Medical Decisions And Scientific Research 211\u003c\/p\u003e \u003cp\u003e33 Entrupy: Using Artificial Intelligence To Combat The $450 Billion Counterfeit Industry 217\u003c\/p\u003e \u003cp\u003e34 Experian: Using Artificial Intelligence To Make Mortgages Simpler 221\u003c\/p\u003e \u003cp\u003e35 Harley-Davidson: Using Artificial Intelligence To Increase Sales 227\u003c\/p\u003e \u003cp\u003e36 Hopper: Using Artificial Intelligence To Travel For Less 233\u003c\/p\u003e \u003cp\u003e37 Infervision: Using Artificial Intelligence To Detect Cancer And Strokes 239\u003c\/p\u003e \u003cp\u003e38 Mastercard: Using Artificial Intelligence To Cut Down The “False Declines” That Cost Businesses Billions Each Year 245\u003c\/p\u003e \u003cp\u003e39 Salesforce: How Artificial Intelligence Helps Businesses Understand Their Customers 249\u003c\/p\u003e \u003cp\u003e40 Uber: Using Artificial Intelligence To Do Everything 255\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 5 Manufacturing, Automotive, Aerospace and Industry 4.0 Companies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e41 BMW: Using Artificial Intelligence To Build And Drive The Cars Of Tomorrow 263\u003c\/p\u003e \u003cp\u003e42 GE: Using Artificial Intelligence To Build The Internet Of Energy 269\u003c\/p\u003e \u003cp\u003e43 John Deere: Using Artificial Intelligence To Reduce Pesticide Pollution In Agriculture 275\u003c\/p\u003e \u003cp\u003e44 KONE: Using Artificial Intelligence To Move Millions Of People Every Day 281\u003c\/p\u003e \u003cp\u003e45 Daimler AG: From Luxury Personal Cars To Passenger Drones 287\u003c\/p\u003e \u003cp\u003e46 NASA: Using Artificial Intelligence To Explore Space And Distant Worlds 293\u003c\/p\u003e \u003cp\u003e47 Shell: Using Artificial Intelligence To Tackle The Energy Transition 299\u003c\/p\u003e \u003cp\u003e48 Siemens: Using Artificial Intelligence And Analytics To Build The Internet Of Trains 305\u003c\/p\u003e \u003cp\u003e49 Tesla: Using Artificial Intelligence To Build Intelligent Cars 311\u003c\/p\u003e \u003cp\u003e50 Volvo: Using Machine Learning To Build The World’s Safest Cars 317\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 6 Final Words and Artificial Intelligence Challenges \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e51 Final Words And Artificial Intelligence Challenges 323\u003c\/p\u003e \u003cp\u003eAbout the Author 329\u003c\/p\u003e \u003cp\u003eAcknowledgments 331\u003c\/p\u003e \u003cp\u003eIndex 333\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48866402042199,"sku":"9781119548218","price":23.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119548218.jpg?v=1722278472"},{"product_id":"operations-management-9781292408248","title":"Operations Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eNigel Slack\u003c\/strong\u003e is an Emeritus Professor of Operations Management and Strategy at Warwick Business School, Honorary Professor at Bath University, and 'Honorary Fellow of the European Operations Management Association'. He is an educator, consultant, and writer with a wealth of experience in many sectors.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAlistair Brandon-Jones\u003c\/strong\u003e is a full-chaired Professor in Operations and Supply Chain Management and Head of the Information, Decisions, and Operations Division at the University of Bath, School of Management. He is also an Adjunct Professor for Hult International Business School and Danish Technical University.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eNicola Burgess\u003c\/strong\u003e is a Reader in Operations Management at Warwick Business School. She has worked extensively with public sector organisations to understand Operations Management and Improvement in a public sector context.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003col\u003e\n\u003cli\u003eOperations management\u003c\/li\u003e\n\u003cli\u003eOperations performance\u003c\/li\u003e\n\u003cli\u003eOperations strategy\u003c\/li\u003e\n\u003cli\u003eProduct and service innovation\u003c\/li\u003e\n\u003cli\u003eThe structure and scope of supply\u003c\/li\u003e\n\u003cli\u003eProcess design\u003c\/li\u003e\n\u003cli\u003eThe layout and look of facilities\u003c\/li\u003e\n\u003cli\u003eProcess technology\u003c\/li\u003e\n\u003cli\u003ePeople in operations\u003c\/li\u003e\n\u003cli\u003ePlanning and control\u003c\/li\u003e\n\u003cli\u003eCapacity management\u003c\/li\u003e\n\u003cli\u003eSupply Chain Management\u003c\/li\u003e\n\u003cli\u003eInventory management\u003c\/li\u003e\n\u003cli\u003ePlanning and control systems\u003c\/li\u003e\n\u003cli\u003eOperations improvement\u003c\/li\u003e\n\u003cli\u003eLean operations\u003c\/li\u003e\n\u003cli\u003eQuality management\u003c\/li\u003e\n\u003cli\u003eManaging risk and recovery\u003c\/li\u003e\n\u003cli\u003eProject management\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Pearson Education Limited","offers":[{"title":"Default Title","offer_id":48866530066775,"sku":"9781292408248","price":62.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781292408248.jpg?v=1722279093"},{"product_id":"essentials-of-operations-management-9781292449265","title":"Essentials of Operations Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eNigel Slack\u003c\/strong\u003e is Emeritus Professor of Operations Management and Strategy at Warwick Business School, an Honorary Professor at Bath University, and 'Honorary Fellow of the European Operations Management Association'. He is an educator, consultant, and writer with a wide experience in many sectors.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAlistair Brandon-Jones\u003c\/strong\u003e is a Full Chaired Professor in Operations and Supply Chain Management, and Head of the Information, Decisions, and Operations Division at the University of Bath, School of Management. He is also an Adjunct Professor for Hult International Business School and Danish Technical University.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eNicola Burgess\u003c\/strong\u003e is a Reader in Operations Management at W;arwick Business School. She has worked extensively with public sector organisations to understand operations management and improvement in a public sector context.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003col\u003e\n\u003cli\u003eOperations management and performanceIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is operations management?\u003c\/li\u003e\n\u003cli\u003eWhat is the input–transformation– output process?\u003c\/li\u003e\n\u003cli\u003eWhy is operations management important to an organisation's performance?\u003c\/li\u003e\n\u003cli\u003eWhat is the process hierarchy?\u003c\/li\u003e\n\u003cli\u003eHow do operations (and processes) differ?\u003c\/li\u003e\n\u003cli\u003eWhat do operations managers do?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eOperations strategyIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is strategy and what is operations strategy?\u003c\/li\u003e\n\u003cli\u003eHow does operations strategy align with business strategy (top-down)?\u003c\/li\u003e\n\u003cli\u003eHow does operations strategy align with market requirements (outside-in)?\u003c\/li\u003e\n\u003cli\u003eHow does operations strategy align with operational experience (bottom-up)?\u003c\/li\u003e\n\u003cli\u003eHow does operations strategy align with operations resources (inside-out)?\u003c\/li\u003e\n\u003cli\u003eHow are the four perspectives of operations strategy reconciled?\u003c\/li\u003e\n\u003cli\u003eHow can the process of operations strategy be organised?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eProduct and service innovationIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is product and service innovation?\u003c\/li\u003e\n\u003cli\u003eWhat is the strategic role of product and service innovation?\u003c\/li\u003e\n\u003cli\u003eWhat are the stages of product and service innovation?\u003c\/li\u003e\n\u003cli\u003eWhat are the benefits of interactive product and service innovation?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eProcess design – resourcesIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhy is choosing the right resources important?\u003c\/li\u003e\n\u003cli\u003eDo processes match volume–variety requirements?\u003c\/li\u003e\n\u003cli\u003eAre process layouts appropriate?\u003c\/li\u003e\n\u003cli\u003eAre job designs appropriate?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eProcess design – analysisIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhy is it important to get the details of process design correct?\u003c\/li\u003e\n\u003cli\u003eWhat should be the objectives of process design?\u003c\/li\u003e\n\u003cli\u003eHow are processes currently designed?\u003c\/li\u003e\n\u003cli\u003eAre process tasks and capacity configured appropriately?\u003c\/li\u003e\n\u003cli\u003eIs process variability recognised?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eSupply chain managementIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is supply chain management?\u003c\/li\u003e\n\u003cli\u003eHow should supply chains compete?\u003c\/li\u003e\n\u003cli\u003eHow should relationships in supply chains be managed?\u003c\/li\u003e\n\u003cli\u003eHow is the supply side managed?\u003c\/li\u003e\n\u003cli\u003eHow is the demand side managed?\u003c\/li\u003e\n\u003cli\u003eWhat are the dynamics of supply chains\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eCapacity managementIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is capacity management?\u003c\/li\u003e\n\u003cli\u003eHow is demand measured?\u003c\/li\u003e\n\u003cli\u003eHow is capacity measured?\u003c\/li\u003e\n\u003cli\u003eHow is the demand side managed?\u003c\/li\u003e\n\u003cli\u003eHow is the supply side managed?\u003c\/li\u003e\n\u003cli\u003eHow can operations understand the consequences of their capacity management decisions?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eInventory managementIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is inventory?\u003c\/li\u003e\n\u003cli\u003eWhy do you need inventory?\u003c\/li\u003e\n\u003cli\u003eHow much should you order? (The volume decision)\u003c\/li\u003e\n\u003cli\u003eWhen should you order? (The timing decision)\u003c\/li\u003e\n\u003cli\u003eHow can you control inventory?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eResource planning and controlIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is resource planning and control?\u003c\/li\u003e\n\u003cli\u003eWhat is the difference between planning and control?\u003c\/li\u003e\n\u003cli\u003eHow do supply and demand affect planning and control?\u003c\/li\u003e\n\u003cli\u003eWhat are the activities of planning and control?\u003c\/li\u003e\n\u003cli\u003eWhat is enterprise resource planning (ERP)?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eOperations improvementIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhy is improvement so important in operations management?\u003c\/li\u003e\n\u003cli\u003eWhat are the key elements of operations improvement?\u003c\/li\u003e\n\u003cli\u003eWhat are the broad approaches to improvement?\u003c\/li\u003e\n\u003cli\u003eWhat techniques can be used for improvement?\u003c\/li\u003e\n\u003cli\u003eWhy is risk management also improvement?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to take it further?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eLean operationsIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is lean?\u003c\/li\u003e\n\u003cli\u003eHow does lean consider flow?\u003c\/li\u003e\n\u003cli\u003eHow does lean consider (and reduce) waste?\u003c\/li\u003e\n\u003cli\u003eHow does lean consider improvement?\u003c\/li\u003e\n\u003cli\u003eHow does lean consider the role of people?\u003c\/li\u003e\n\u003cli\u003eHow does lean apply throughout the supply network?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to take it further?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eQuality managementIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat is quality and why is it so important?\u003c\/li\u003e\n\u003cli\u003eWhat steps lead towards conformance to specification?\u003c\/li\u003e\n\u003cli\u003eWhat is total quality management (TQM)?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003cli\u003eProject managementIntroductionKey questions  \u003cul\u003e\n\u003cli\u003eWhat are projects?\u003c\/li\u003e\n\u003cli\u003eWhat is project management?\u003c\/li\u003e\n\u003cli\u003eHow is the project environment understood?\u003c\/li\u003e\n\u003cli\u003eHow are projects defined?\u003c\/li\u003e\n\u003cli\u003eHow are projects planned?\u003c\/li\u003e\n\u003cli\u003eHow are projects controlled and learned from?\u003c\/li\u003e\n\u003c\/ul\u003eSummary answers to key questionsProblems and applicationsWant to know more?Notes on chapter\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Pearson Education Limited","offers":[{"title":"Default Title","offer_id":48866533638487,"sku":"9781292449265","price":52.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781292449265.jpg?v=1722279109"},{"product_id":"pytorch-pocket-reference-9781492090007","title":"PyTorch Pocket Reference","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for answers.","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":48867310076247,"sku":"9781492090007","price":20.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781492090007.jpg?v=1722282724"},{"product_id":"pricing-and-revenue-optimization-second-edition-9781503610002","title":"Pricing and Revenue Optimization: Second Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book offers the first introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of \"yield management\" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable.\u003c\/p\u003e \u003cp\u003eWith updates to every chapter, this second edition covers topics such as estimation of price-response functions and machine-learning-based price optimization. New discussions of applications of dynamic pricing and revenue management by companies such as Amazon, Uber, and Disney, and in industries such as sports, theater, and electric power, are also included. In addition, the book provides current coverage of important applications such as revenue management, markdown management, customized pricing, and the behavioral economics of pricing.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This book is a must-read for students and practitioners of pricing modeling, offering a clear guide on where and how to apply which pricing model framework. With the updates made to the 2nd edition, its comprehensiveness in covering the pricing modeling topic is second to none!\" -- Wei Ke * Managing Partner at Simon-Kucher \u0026amp; Partners *\u003cbr\u003e\"Benefiting from Bob's rich industry experience and superb writing skills, this book exposes the reader to a host of real-world applications that blend modelling, optimization, and machine learning in a gentle and accessible way. Describing new developments in e-commerce, ride sharing and reinforced learning, this is a must-read book for students and professionals in the field.\" -- Guillermo Gallego, Crown Worldwide Professor of Engineering * Hong Kong University of Science and Technology *\u003cbr\u003e\"Bob Phillips is one of the world's experts on quantitative pricing. This unique book translates state-of-the-art academic research into practical managerial lessons. Covering a wide range of industries that go from revenue management classics such as hotels and airlines all the way to modern e-commerce and ride-sharing platforms, this book is a must have for every pricing manager.\" -- Gabriel Weintraub * Stanford Graduate School of Business *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eContents and Abstracts1Background chapter abstract\u003cp\u003eThis chapter describes the historical background of pricing and revenue optimization including the factors that have driven the growth of analytical approaches to pricing, such as the success of revenue management in the airlines, advances in information technology, the rise of e-commerce, and the success of machine learning. Pricing decisions have become exponentially more complex and dynamic to the extent that it is no longer possible to manage prices effectively using spreadsheets. The use of automated techniques to set and update prices dynamically has led to profitability improvements of 10% or more in many different industries.\u003c\/p\u003e 2Introduction to Pricing and Revenue Optimization chapter abstract\u003cp\u003eThis chapter introduces the basic concepts behind pricing and revenue optimization. It discusses common pricing challenges such as lack of consistent management, discipline, and analysis. I describe three purist approaches to pricing—cost-plus, market-based and value-based and explain the shortcomings of each. I define pricing and revenue optimization as a process for managing and updating pricing decisions across an organization in a way that most effectively meets corporate goals using mathematical analysis. I introduce the pricing and revenue optimization cube as a convenient way to think about pricing decisions across the organization and describe the steps in an effective pricing and revenue optimization process. I describe a closed-loop process for setting, evaluating and updating prices. Finally, I discuss the role of mathematical analysis and optimization in the pricing process and contrast explicit optimization with data-driven approaches.\u003c\/p\u003e 3Models of Demand chapter abstract\u003cp\u003eThis chapter introduces the price-response function, which describes how demand for a product changes as a function of price. The price-response function is a key component in pricing and revenue optimization. I show how the price-response function can be derived from the distribution of willingness to pay among potential customers and describe the properties that a proper price-response function should possess. I describe the most common measures of price sensitivity such as slope, elasticity, and hazard rate and extend these measures to the case in which a seller is offering multiple products that may compete with each other. I introduce the most common price-response functions including the linear, constant-elasticity, logit, and probit functions and describe their properties, as well as when they can be best used.\u003c\/p\u003e 4Estimating Price Response chapter abstract\u003cp\u003eI show how a price-response function can be estimated from historical data about prices and demand. Ways in which historical data can be obtained include price tests, A\/B tests, natural experiments, and regression discontinuity design. I show how regression can be used to estimate the parameters of different price-response functions including linear, exponential, and constant elasticity. I introduce measures of fit including root-mean-square error, mean absolute percentage error, and weighted mean absolute percentage error. I show how the availability of potential demand data can significantly improve estimation, and I introduce methods for estimating a price-response function when potential demand data are available. The estimation process is discussed, as well as challenges to estimation including collinearity and endogeneity and how they can be addressed. .\u003c\/p\u003e 5Optimization chapter abstract\u003cp\u003eIn this chapter I show how to calculate an optimal price. The first step is to determine an objective function to be maximized. Typically we assume that contribution is to be maximized, but in some cases, revenue may be an element in the objective function. I discuss how to calculate contribution. Given contribution and a price-response function, the optimal price must satisfy a set of conditions, such as marginal cost equaling marginal revenue and elasticity equaling inverse unit margin. I discuss the implications of these conditions for real-world prices and show how explicit optimization can be used to calculate an optimal price. I discuss how to address the case of multiple objective functions, when a seller might be interested in maximizing both profit and market share. Finally, I introduce a data-driven approach to finding an optimal price that does not require a price-response function.\u003c\/p\u003e 6Price Differentiation chapter abstract\u003cp\u003ePrice differentiation is the practice of charging different prices to different customers for the same good or slightly different versions of the same good. In this chapter, I describe various techniques for using price differentiation to improve profitability including group pricing, channel pricing, regional pricing, and couponing. Some of the most effective tactics for price differentiation are inferior goods, superior goods, product lines, product versioning, and time-based differentiation. I show how to calculate optimal differentiated prices in the presence of arbitrage and cannibalization and discuss the implications of price differentiation for consumer welfare. One common approach to price differentiation is nonlinear pricing, in which purchasing multiple products together can be cheaper than purchasing them independently. I present models for two of the most common nonlinear pricing approaches: volume discounts and bundling.\u003c\/p\u003e 7Pricing with Constrained Supply chapter abstract\u003cp\u003eSupply and capacity constraints are commonplace across many industries and can have a strong effect on optimal prices. I start by discussing the nature of supply constraints and the situations in which they occur. I then discuss how a seller can determine the optimal price to charge when faced with a supply constraint, and I introduce the important concept of opportunity cost. I extend the calculation of optimal prices to the case when a supplier has a segmented market and faces supply constraints. This leads to the tactic of variable pricing, which is used when a supplier has multiple units of constrained capacity and can change prices in order to balance supply and demand. I discuss examples of variable pricing from industries including ride-sharing, concerts, and sporting events.\u003c\/p\u003e 8Revenue Management chapter abstract\u003cp\u003eRevenue management is a profit-maximizing tactic used by sellers with a fixed stock of perishable capacity. This chapter relates the history of revenue management and shows how revenue management is an application of price differentiation. I introduce revenue management tactics—the ways in which companies can manage their capacity to maximize return. The airlines and other travel-related industries were pioneers in revenue management. I show how computerized reservation systems and global distribution systems play major roles in the way that revenue management has been implemented in these industries. I discuss the role of ancillary revenue and incremental costs and how they influence revenue management in different industries. I describe how the effectiveness of a revenue management program can be measured and discuss the current status and future prospects of revenue management in different industries.\u003c\/p\u003e 9Capacity Allocation chapter abstract\u003cp\u003eCapacity allocation is the problem of determining how many seats (or hotel rooms or rental cars) to allow low-fare customers to book when there is the possibility of future high-fare demand. I first analyze the two-class case in some detail. I then consider the multiclass problem, with an emphasis on the widely used expected marginal seat revenue (EMSR) heuristics. Next I discuss the dynamic multiclass problem. I then relax the independence assumption and discuss how booking limits can be set when demand in a fare class can depend on which other classes are currently open. I introduce a data-driven approach that does not depend on estimating parameters of a demand distribution. Finally, I discuss how the performance of a capacity allocation program can be measured and evaluated.\u003c\/p\u003e 10Network Management chapter abstract\u003cp\u003eNetwork management is the problem of determining how to manage resource availability in the case when products can require multiple resources. Examples include hub-and-spoke airline networks as well as multiday hotel and rental car products. I introduce the network management problem, describe different types of networks, and discuss the industries in which network management is important. I show why the network management problem is complex and why a simple and intuitive greedy heuristic does not work well. I then present various approaches to the network management problem including linear programming, virtual nesting, and bid pricing. Finally, I discuss the issues involved in implementing network management.\u003c\/p\u003e 11Overbooking chapter abstract\u003cp\u003eOverbooking occurs whenever a seller with constrained supply sells more units than he has available to hedge against the possibility of no-shows or cancellations. The chapter begins with a short history of overbooking. I then characterize industries in which overbooking is used and introduce four different approaches to overbooking: a deterministic heuristic, risk-based policies, service-level policies, and hybrid policies. I show how booking limits can be determined under each policy in the case of a single price and an uncertain level of no-shows. I then present a data-driven approach to overbooking and discuss dynamic overbooking in the face of cancellations and multiple fare classes. Finally, I present extensions to the basic problem and discuss some alternatives to overbooking for managing cancellations and no-shows.\u003c\/p\u003e 12Markdown Management chapter abstract\u003cp\u003eThe goal of markdown management is to determine the timing and magnitude of price reductions that maximize revenue from a fixed stock of inventory. In this chapter I start by giving some background and show how, for certain goods and services, markdowns segment the market and provide a simple method by which retailers can profit from intertemporal price differentiation. I outline the markdown management process that retailers follow and some of the business issues that can constrain them. I formulate the markdown problem as a constrained optimization problem and outline the most common approaches to finding the optimal prices including explicit optimization and exhaustive search, or enumeration. I discuss the implications of strategic customers—those who anticipate future prices—on markdown policies. Finally, I discuss the use of markdown management systems and the experiences of companies using markdown optimization.\u003c\/p\u003e 13Customized Pricing chapter abstract\u003cp\u003eCustomized pricing refers to the situation in which customers approach sellers with their desired product and the seller responds with a bid. In customized pricing, the seller can usually determine an individualized price for each customer and has access to information about failed bids as well as successful ones. I formulate the customized-pricing decision as an optimization problem and show how that problem can be solved to maximize the expected contribution margin from each bid. A key element in the customized-pricing problem is the bid-response function, which specifies the seller's expectation on how each customer will respond to his bid price. I show how bid-response functions can be estimated for different customers seeking to purchase different products. I then show how the customized-pricing model can deal with objectives other than maximizing expected contribution.\u003c\/p\u003e 14Behavioral Economics and Pricing chapter abstract\u003cp\u003eClassical approaches to pricing optimization assume that consumers are rational in that they choose among available alternatives in a way that maximizes the utility of the product purchased minus the price. However, both common experience and research show that this is not the case—customers are influenced by seemingly irrelevant factors such as how the price is presented and what prices are offered to other customers. In this chapter I describe the implications of customer irrationality for pricing in three categories: violations of the law of demand, price presentation and framing, and fairness. I discuss how these categories should be taken into consideration in pricing. Examples are drawn from Amazon, Coca-Cola, First National Bank of Chicago, and cruise lines, among other industries.\u003c\/p\u003e","brand":"Stanford University Press","offers":[{"title":"Default Title","offer_id":48867349496151,"sku":"9781503610002","price":60.8,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781503610002.jpg?v=1722282917"},{"product_id":"predictive-analytics-for-the-modern-enterprise-9781098136864","title":"Predictive Analytics for the Modern Enterprise","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"O'Reilly","offers":[{"title":"Default Title","offer_id":48885253079383,"sku":"9781098136864","price":42.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781098136864.jpg?v=1722535580"},{"product_id":"operations-research-a-model-based-approach-9783030971649","title":"Operations Research: A Model-Based Approach","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis is the third edition of a textbook that has been used in a number of undergraduate courses and covers the standard models and techniques used in decision-making in organizations. The main emphasis of the book is on modelling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily based on modelling and makes extensive use of sensitivity analyses. It is the result of the authors’ many years of combined teaching experience.\u003c\/p\u003e  \u003cp\u003eThe third edition includes new topics such as nonlinear programming and reliability theory, as well as additional material on multi-attribute decision-making. Each chapter includes a number of fully solved problems that allow students to practice or self-study. Additional problems are available on the book’s accompanying website.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction.- 2. Linear Programming.- 3. Multiobjective Programming.- 4. Nonlinear Programming.- 5. Integer Linear Programming.- 6. Network Models.- 7. Location Models.- 8. Project Networks.- 9. Machine Scheduling.- 10. Decision Analysis.- 11. Multiattribute Decision Making.- 12. Inventory Models.- 13. Stochastic Processes and Markov Chains.- 14. Reliability Theory.- 15. Waiting Line Models.- 16. Simulation.- 17. Heuristic Methods. ","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48889014845783,"sku":"9783030971649","price":44.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"research-methodology-9788120349469","title":"Research Methodology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis second edition textbook covers research methodology concepts and statistical tools for MBA, MCom, MA, and PhD courses. It includes numerical examples, testing of hypotheses, design and analysis of experiments, multivariate analysis, SPSS chapter, and chapter-end questions.","brand":"PHI Learning","offers":[{"title":"Default Title","offer_id":48889459179863,"sku":"9788120349469","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"graph-and-network-theory-an-applied-approach-using-mathematica-r-9783031038594","title":"Graph and Network Theory: An Applied Approach","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis textbook covers a diversity of topics in graph and network theory, both from a theoretical standpoint, and from an applied modelling point of view. Mathematica® is used to demonstrate much of the modelling aspects. Graph theory and model building tools are developed in tandem with effective techniques for solving practical problems via computer implementation. The book is designed with three primary readerships in mind. Individual syllabi or suggested sequences for study are provided for each of three student audiences: mathematics, applied mathematics\/operations research, and computer science. In addition to the visual appeal of each page, the text contains an abundance of gems. Most chapters open with real-life problem descriptions which serve as motivation for the theoretical development of the subject matter. Each chapter concludes with three different sets of exercises. The first set of exercises are standard and geared toward the more mathematically inclined reader. Many of these are routine exercises, designed to test understanding of the material in the text, but some are more challenging. The second set of exercises is earmarked for the computer technologically savvy reader and offer computer exercises using Mathematica. The final set consists of larger projects aimed at equipping those readers with backgrounds in the applied sciences to apply the necessary skills learned in the chapter in the context of real-world problem solving. Additionally, each chapter offers biographical notes as well as pictures of graph theorists and mathematicians who have contributed significantly to the development of the results documented in the chapter. These notes are meant to bring the topics covered to life, allowing the reader to associate faces with some of the important discoveries and results presented. In total, approximately 100 biographical notes are presented throughout the book.  \u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe material in this book has been organized into three distinct parts, each with a different focus. The first part is devoted to topics in network optimization, with a focus on basic notions in algorithmic complexity and the computation of optimal paths, shortest spanning trees, maximum flows and minimum-cost flows in networks, as well as the solution of network location problems. The second part is devoted to a variety of classical problems in graph theory, including problems related to matchings, edge and vertex traversal, connectivity, planarity, edge and vertex coloring, and orientations of graphs. Finally, the focus in the third part is on modern areas of study in graph theory, covering graph domination, Ramsey theory, extremal graph theory, graph enumeration, and application of the probabilistic method.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface.- List of Algorithms.- List of Bibliographical Notes.- Part 1. Topics in network optimisation.- 1. An introduction to graphs.- 2. Graph connectedness.- 3. Algorithmic complexity.- 4. Optimal paths.- 5. Trees.- 6. Location problems.- 7. Maximum flow networks.- 8. Minimum-cost network flows.- Part 2. Topics in classical graph theory.- 9. Matchings.- 10. Eulerian graphs.- 11. Hamiltonian graphs.- 12. Graph connectivity.- 13. Planarity.- 14. Graph colouring.- 15. Oriented graphs. Part 3. Topics in modern graph theory.- 16. Domination in graphs.- 17. Ramsey Theory.-  18. Extremal graph theory.- 19. Graph enumeration.- 20. The probabilistic method.- Index.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49084752396631,"sku":"9783031038594","price":62.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031038594.jpg?v=1725553228"},{"product_id":"current-trends-and-advances-in-computeraided-intelligent-environmental-data-engineering-9780323855976","title":"Current Trends and Advances in ComputerAided","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSection I: Data-centric and intelligent systems in air quality monitoring, assessment and mitigation 1. Application of deep learning and machine learning in air quality modelling 2. Case study of air quality prediction by deep learning and machine learning 3. Considerations of particle dispersion modelling with data-centric and intelligent systems 4. Data-centric modelling of air filters, HVAC and other industrial air quality control systems 5. A review of recent developments and applications of data-centric systems in air quality monitoring, assessment and mitigation  Section 2: Data-centric and intelligent systems in water quality monitoring, assessment and mitigation 6. Application of deep learning and machine learning methods in water quality modelling and prediction 7. Case studies of surface water, groundwater and rainwater quality prediction by data-centric and intelligent systems 8. Application of deep learning and machine learning methods in contaminant hydrology 9. Deep learning and machine learning methods in emerging contaminants and micro-pollutants research 10. A review of recent developments and applications of data-centric systems in water quality monitoring, assessment and mitigation  Section 3: Data-centric and intelligent systems inland pollution research 11. Application of deep learning and machine learning methods in flow modelling of landfill leachate 12. Case studies of evaluations and analysis of solid waste management techniques by deep learning and machine learning methods 13. Application of deep learning and machine learning methods in soil quality assessment and remediation 14. Establishing a nexus between non-biodegradable waste and data-centric systems 15. A review of recent developments and applications of data-centric systems inland pollution research  Section 4: Data-centric and intelligent systems in noise pollution research 16. Methods development for data-centric systems in noise pollution research 17. Case studies of data-centric systems in noise pollution research 18. A review of recent developments and applications of data-centric systems in noise pollution research","brand":"Elsevier Science \u0026 Technology","offers":[{"title":"Default Title","offer_id":49371674673495,"sku":"9780323855976","price":74.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780323855976.jpg?v=1730154154"},{"product_id":"a-first-course-in-bayesian-statistical-methods-9780387922997","title":"A First Course in Bayesian Statistical Methods","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003col\u003e\n\u003cli\u003e\u003cp\u003eA self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. \u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eThe development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e\u003cp\u003eThis is an excellent book for its intended audience: statisticians who wish to learn Bayesian methods. Although designed for a statistics audience, it would also be a good book for econometricians who have been trained in frequentist methods, but wish to learn Bayes. In relatively few pages, it takes the reader through a vast amount of material, beginning with deep issues in statistical methodology such as de Finetti’s theorem, through the nitty-gritty of Bayesian computation to sophisticated models such as generalized linear mixed effects models and copulas. And it does so in a simple manner, always drawing parallels and contrasts between Bayesian and frequentist methods, so as to allow the reader to see the similarities and differences with clarity. (Econometrics Journal) “Generally, I think this is an excellent choice for a text for a one-semester Bayesian Course. It provides a good overview of the basic tenets of Bayesian thinking for the common one and two parameter distributions and gives introductions to Bayesian regression, multivariate-response modeling, hierarchical modeling, and mixed effects models. The book includes an ample collection of exercises for all the chapters. A strength of the book is its good discussion of Gibbs sampling and Metropolis-Hastings algorithms. The author goes beyond a description of the MCMC algorithms, but also provides insight into why the algorithms work. …I believe this text would be an excellent choice for my Bayesian class since it seems to cover a good number of introductory topics and giv the student a good introduction to the modern computational tools for Bayesian inference with illustrations using R. (Journal of the American Statistical Association, June 2010, Vol. 105, No. 490)\u003c\/p\u003e\u003cp\u003e“Statisticians and applied scientists. The book is accessible to readers having a basic familiarity with probability theory and grounding statistical methods. The author has succeeded in writing an acceptable introduction to the theory and application of Bayesian statistical methods which is modern and covers both the theory and practice. … this book can be useful as a quick introduction to Bayesian methods for self study. In addition, I highly recommend this book as a text for a course for Bayesian statistics.” (Lasse Koskinen, International Statistical Review, Vol. 78 (1), 2010)\u003c\/p\u003e\u003cp\u003e“The book under review covers a balanced choice of topics … presented with a focus on the interplay between Bayesian thinking and the underlying mathematical concepts. … the book by Peter D. Hoff appears to be an excellent choice for a main reading in an introductory course. After studying this text the student can go in a direction of his liking at the graduate level.” (Krzysztof Łatuszyński, Mathematical Reviews, Issue 2011 m)\u003c\/p\u003e\u003cp\u003e“The book is a good introductory treatment of methods of Bayes analysis. It should especially appeal to the reader who has had some statistical courses in estimation and modeling, and wants to understand the Bayesian interpretation of those methods. Also, readers who are primarily interested in modeling data and who are working in areas outside of statistics should find this to be a good reference book. … should appeal to the reader who wants to keep with modern approaches to data analysis.” (Richard P. Heydorn, Technometrics, Vol. 54 (1), February, 2012)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eand examples.- Belief, probability and exchangeability.- One-parameter models.- Monte Carlo approximation.- The normal model.- Posterior approximation with the Gibbs sampler.- The multivariate normal model.- Group comparisons and hierarchical modeling.- Linear regression.- Nonconjugate priors and Metropolis-Hastings algorithms.- Linear and generalized linear mixed effects models.- Latent variable methods for ordinal data.","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":49371711209815,"sku":"9780387922997","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780387922997.jpg?v=1730154260"},{"product_id":"structured-dependence-between-stochastic-processes-9781107154254","title":"Structured Dependence between Stochastic","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This is a timely book on an important topic, and it is well written.' John Masson Noble, MathSciNet\u003cbr\u003e'The authors follow good traditions, starting with exact definitions, commenting on essential properties, asking appropriate questions, formulating theorems, lemmas or propositions and giving explicit conditions under which complete proofs are provided for the statements.' Jordan M. Stoyanov, zbMATH\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction; Part I. Consistencies: 2. Strong Markov consistency of multivariate Markov families and processes; 3. Consistency of finite multivariate Markov chains; 4. Consistency of finite multivariate conditional Markov chains; 5. Consistency of multivariate special semimartingales; Part II. Structures: 6. Strong Markov family structures; 7. Markov chain structures; 8. Conditional Markov chain structures; 9. Special semimartingale structures Part III. Further Developments: 10. Archimedean survival processes, Markov consistency, ASP structures; 11. Generalized multivariate Hawkes processes; Part IV. Applications of Stochastic Structures: 12. Applications of stochastic structures; Appendix A. Stochastic analysis: selected concepts and results used in this book; Appendix B. Markov processes and Markov families; Appendix C. Finite Markov chains: auxiliary technical framework; Appendix D. Crash course on conditional Markov chains and on doubly stochastic Markov chains; Appendix E. Evolution systems and semigroups of linear operators; Appendix F. Martingale problem: some new results needed in this book; Appendix G. Function spaces and pseudo-differential operators; References; Notation index; Subject index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":49371819508055,"sku":"9781107154254","price":95.95,"currency_code":"GBP","in_stock":true}]},{"product_id":"making-better-decisions-balancing-conflicting-criteria-9783030494575","title":"Making Better Decisions: Balancing Conflicting","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book offers a comprehensive introduction to decision-making in an MCDM framework. Designed as a tutorial, it presents the main concepts and methods to be applied, together with essential background information. This includes the concept of nondominance, Simon’s bounded rationality, Tversky and Kahneman’s prospect theory, and the concepts of behavioral vs. mathematical convergence and premature stopping put forward by Korhonen, Moskowitz and Wallenius. The book concludes with a non-technical review of many popular decision algorithms, including the Analytic Hierarchy Process (AHP), VIMDA, and a number of classic interactive man-machine algorithms. In essence, the book is a “one-stop” source on everything you need to know about managerial decision-making in the multiple-criteria setting.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eDifferent Paradigms of Decision-Making.About the Role of Intuition.Towards Analytic Decision-Making.How Do Humans Make Choices?.Beware of Decision Traps:  The World of Certainty.Beware of Decision Traps: The World of Uncertainty.The Devil is in the Details.A Picture is Worth a Thousand Words.Choosing Among Known Alternatives.Designing Potential Solutions.Solving Design Problems.Need for Decision Support Systems.Use Scenarios Instead of a Crystal Ball.Making Operations More Efficient.Real-World Problems.Negotiating a Deal.In Conclusion.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49372688548183,"sku":"9783030494575","price":32.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"principles-of-supply-chain-management-and-their-implications-9783031661112","title":"Principles of Supply Chain Management and Their","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface.- Principles of Supply Chain Management.- Analysis of Ordering Patterns in Serial Supply Chains.- Pooling in Supply Chains.- Mathematics of Pooling.- Including Capacity Limitations in Planning Models.- Real-time Execution Systems.- Design and Operation of the Vaccine Distribution Supply Chain.- Bibliography.- Index.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":49372692971863,"sku":"9783031661112","price":54.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"applied-numerical-methods-for-chemical-engineers-9780128229613","title":"Applied Numerical Methods for Chemical Engineers","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Nonlinear Equations 2. Simultaneous Linear Algebraic Equations 3. Finite Difference Methods and Interpolation 4. Differentiation and Integration 5. Ordinary Differential Equations: Initial Value Problems 6. Ordinary Differential Equations: Boundary Value Problems 7. Partial Differential Equations 8. Linear and Nonlinear Regression Analysis","brand":"Elsevier Science Publishing Co Inc","offers":[{"title":"Default Title","offer_id":49399840309591,"sku":"9780128229613","price":61.16,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780128229613.jpg?v=1730468878"},{"product_id":"graph-coloring-problems-9780471028659","title":"Graph Coloring Problems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eContains a wealth of information previously scattered in research journals, conference proceedings and technical reports. Identifies more than 200 unsolved problems. Every problem is stated in a self-contained, extremely accessible format, followed by comments on its history, related results and literature.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePlanar Graphs.\u003cbr\u003e \u003cbr\u003e Graphs on Higher Surfaces.\u003cbr\u003e \u003cbr\u003e Degrees.\u003cbr\u003e \u003cbr\u003e Critical Graphs.\u003cbr\u003e \u003cbr\u003e The Conjectures of Hadwiger and Hajos.\u003cbr\u003e \u003cbr\u003e Sparse Graphs.\u003cbr\u003e \u003cbr\u003e Perfect Graphs.\u003cbr\u003e \u003cbr\u003e Geometric and Combinatorial Graphs.\u003cbr\u003e \u003cbr\u003e Algorithms.\u003cbr\u003e \u003cbr\u003e Constructions.\u003cbr\u003e \u003cbr\u003e Edge Colorings.\u003cbr\u003e \u003cbr\u003e Orientations and Flows.\u003cbr\u003e \u003cbr\u003e Chromatic Polynomials.\u003cbr\u003e \u003cbr\u003e Hypergraphs.\u003cbr\u003e \u003cbr\u003e Infinite Chromatic Graphs.\u003cbr\u003e \u003cbr\u003e Miscellaneous Problems.\u003cbr\u003e \u003cbr\u003e Indexes.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402478920023,"sku":"9780471028659","price":147.56,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471028659.jpg?v=1730480531"},{"product_id":"operations-research-models-and-methods-9780471380047","title":"Operations Research Models and Methods","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIn a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research.  \u003cp\u003eBridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You''ll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You''ll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common t\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eProblem Solving With Operations Research.  \u003c\/p\u003e\u003cp\u003eLinear Programming Models.\u003c\/p\u003e \u003cp\u003eLinear Programming Methods.\u003c\/p\u003e \u003cp\u003eSensitivity Analysis, Duality, and Interior Point Methods.\u003c\/p\u003e \u003cp\u003eNetwork Flow Programming Models.\u003c\/p\u003e \u003cp\u003eNetwork Flow Programming Methods.\u003c\/p\u003e \u003cp\u003eInteger Programming Models.\u003c\/p\u003e \u003cp\u003eInteger Programming Methods.\u003c\/p\u003e \u003cp\u003eNonlinear Programming Models.\u003c\/p\u003e \u003cp\u003eNonlinear Programming Methods.\u003c\/p\u003e \u003cp\u003eModels for Stochastic Processes.\u003c\/p\u003e \u003cp\u003eDiscrete-Time Markov Chains.\u003c\/p\u003e \u003cp\u003eMathematics of Discrete-Time Markov Chains.\u003c\/p\u003e \u003cp\u003eContinuous-Time Markov Chains.\u003c\/p\u003e \u003cp\u003eMathematics of Continuous-Time Markov Chains.\u003c\/p\u003e \u003cp\u003eQueuing Models.\u003c\/p\u003e \u003cp\u003eQueuing Networks and Decision Models.\u003c\/p\u003e \u003cp\u003eSimulation.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402578239831,"sku":"9780471380047","price":164.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780471380047.jpg?v=1730480823"}],"url":"https:\/\/bookcurl.com\/collections\/operational-research.oembed?page=14","provider":"Book Curl","version":"1.0","type":"link"}