Management decision making Books

Book SynopsisCombinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. Concepts of Combinatorial Optimization, is divided into three parts: - On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomized complexity; - Classical solution methods, presenting the two most-known methods for solving hard combinatorial optimization problems, that are Branch-and-Bound and Dynamic Programming; - Elements from mathematical programming, presenting fundamentals from mathematical programming based methods that are in the heart of Operations Research since the origins of this field.Table of ContentsPreface xiii Chapter 1 Airline Crew Pairing Optimization 1 Laurent Alfandari and Anass Nagih Chapter 2 The Task Allocation Problem 23 Moaiz Ben Dhaou and Didier Fayard Chapter 3 A Comparison of Some Valid Inequality Generation Methods for General 0-1 Problems 49 Pierre Bonami and Michel Minoux Chapter 4 Production Planning 73 Nadia Brauner, Gerd Finke and Maurice Queyranne Chapter 5 Operations Research and Goods Transportation 111 Teodor Gabriel Crainic and Frédéric Semet Chapter 6 Optimization Models for Transportation Systems Planning 177 Teodor Gabriel Crainic and Michael Florian Chapter 7 A Model for the Design of a Minimum-cost Telecomminications Network 209 Marc Demange, Cécile Murat, Vangelis Th. Paschos and Sophie Toulouse Chapter 8 Parallel Combinatorial Optimization 225 Van-Dat Cung, Bertrand Le Cun and Catherine Roucairol Chapter 9 Network Design Problems: Fundamental Methods 253 Alain Quilliot Chapter 10 Network Design Problems: Models and Applications 291 Alain Quilliot Chapter 11 Multicriteria Task Allocation to Heterogenous Processors with Capacity and Mutual Exclusion Constraints 327 Bernard Roy and Roman Slowinski General Bibliography 365 List of Authors 401 Index 405 Summary of Other Volumes in the Series 409

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Book SynopsisEconomic players must often choose between several strategic options in a fierce competitive environment where interactions with competitors make decisions particularly complex. Game theory offers useful insights to choose an optimal decision or at least a basis for making rational decision given the constraints of the stakeholders' environment. In presenting the concepts and the logical structure of the reasoning offered by game theory and their applications, the book explains the rational process of decision making in the framework of firm management and market competition. By avoiding the usual complexity of presentation often due to mathematical formalism, the book proposes a reflection and practical insights of game theory for practitioners (managers, strategists) and social, managerial and economic researchers. The book will expose both general teachings and a comprehensive analysis applied to specific case studies of various sectors of the economy.Table of ContentsIntroduction ix Chapter 1. Game Theory and Strategic Management 1 1.1. Game theory and strategic management: semantic and/or conceptual convergences? 1 1.2. The current position of game theory in strategic management 7 1.2.1. Game theory and the school of positioning 7 1.2.2. Growing interest for game theory 13 1.3. The theoretical determinants of coopetition: borrowed from game theory 16 1.3.1. The origin of coopetition 16 1.3.2. Coopetitive practices 18 1.3.3. Mechanisms of value creation in the value network (value net) 21 1.4. Conclusion 25 Chapter 2. From Static Games to Dynamic Approaches 27 2.1. Introduction 27 2.2. Strategies and solution concepts: static games 28 2.2.1. Decentralized concepts 28 2.2.2. Maximin and Minimax solutions or the search for a new level of security 41 2.3. Process of dynamic decisions: solutions concepts 44 2.3.1. “Non-cooperative collusion” or “tacit collusion” 45 2.3.2. Sequential games 56 2.4. Conclusion 69 Chapter 3. Coalitions Formation 71 3.1. Introduction 71 3.2. The notion of a coalition and the cooperative approach 73 3.3. Emergence of cooperation: from collective rationality to individual rationality 84 3.3.1. Some illustrations 84 3.3.2. Emergence of cooperation 86 3.4. A simple conceptual frame of analysis for cooperation: notions of internal and external stability of a coalition 90 3.4.1. The concept of stability as a basic property of cooperation 92 3.4.2. The stability as an equilibrium property of a game 93 3.4.3. Examples 96 3.4.4. The role of heterogeneities 99 3.4.5. R&D in a context of asymmetrical firms 103 3.5. Conclusion 105 Chapter 4. Application 1: Dieselgate 107 4.1. Introduction 107 4.2. Storytelling: for those who missed the beginning 108 4.3. Presentation of the facts and strategic reading 110 4.4. The strategic variables and the associated game 115 4.4.1. The rules of the game 116 4.4.2. Payoff 121 4.5. Game resolution and strategic analysis 123 4.5.1. Perfect equilibrium of the game where fraud is deterred 125 4.5.2. Perfect equilibrium with the firm committing fraud 128 4.6. Conclusion 134 Chapter 5. Application 2: Emergence of Food Safety Standards 137 5.1. Introduction 137 5.2. The game 140 5.3. Nash equilibrium 145 5.4. Conclusion 154 Chapter 6. Application 3: Petrol Stations 157 6.1. Introduction: price structure of a multi-store firm and fragilization of isolated competitors 157 6.2. The facts 157 6.3. Strategic management questions 161 6.4. The game 163 6.5. Price structure in the event of collusion 165 6.6. Price war threat and game equilibrium 171 6.7 Game equilibrium within a time horizon 173 6.8. Conclusion 177 Chapter 7. Application 4: HD-DVD versus Blu-ray 181 7.1. Introduction: individual strategies and collective dynamics 181 7.2. Constitution of HD-DVD and Blu-ray consortiums 182 7.3. Definition of the game 186 7.4. Numerical application 191 7.5. Conclusion 195 Conclusion 199 Appendices 203 Appendix 1 205 Appendix 2 231 Bibliography 239 Index 259

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Book SynopsisManagerial Decision Making is an essential and insightful title that brings together classic articles on the subject of behavioral decision research. Professor Don Moore has selected the seminal articles that are the cornerstone of a discipline that has exploded in both productivity and influence. It covers Herbert Simon's groundbreaking work on bounded rationality, as well as important papers on anchoring, the bias of framing, the problem of overconfidence, the preference for fairness, emotional influences and the strengths and weaknesses of human intuitive judgement. This research review will appeal to a wide readership as decision research plays an important role in such diverse areas as business, marketing, law, finance, medicine and public policy.Table of ContentsContents: Acknowledgements Introduction Don A. Moore PART I BOUNDED RATIONALITY 1. Herbert A. Simon (1955), ‘A Behavioral Model of Rational Choice’ 2. Herbert A. Simon (1959), ‘Theories of Decision-Making in Economics and Behavioral Science’ 3. Dan Ariely, George Loewenstein and Drazen Prelec (2003), ‘“Coherent Arbitrariness”: Stable Demand Curves Without Stable Preferences’ 4. Daniel Kahneman (2003), ‘Maps of Bounded Rationality: Psychology for Behavioral Economics’ PART II ANCHORING 5. Amos Tversky and Daniel Kahneman (1974), ‘Judgment Under Uncertainty: Heuristics and Biases’ 6. Thomas Mussweiler, Fritz Strack and Tim Pfeiffer (2000), ‘Overcoming the Inevitable Anchoring Effect: Considering the Opposite Compensates for Selective Accessibility’ 7. Nicholas Epley and Thomas Gilovich (2001), ‘Putting Adjustment Back in the Anchoring and Adjustment Heuristic: Differential Processing of Self-Generated and Experimenter-Provided Anchors’ PART III FRAMING 8. Daniel Kahneman and Amos Tversky (1979), ‘Prospect Theory: An Analysis of Decision Under Risk’ 9. Daniel Kahneman, Jack L. Knetsch and Richard H. Thaler (1990), ‘Experimental Tests of the Endowment Effect and the Coase Theorem’ 10. Shlomo Benartzi and Richard H. Thaler (1995), ‘Myopic Loss Aversion and the Equity Premium Puzzle’ 11. Eric J. Johnson and Daniel Goldstein (2003), ‘Do Defaults Save Lives?’ PART IV OVERCONFIDENCE 12. Sarah Lichtenstein and Baruch Fischhoff (1977), ‘Do Those Who Know More Also Know More About How Much They Know’ 13. Colin Camerer and Dan Lovallo (1999), ‘Overconfidence and Excess Entry: An Experimental Approach’ 14. Richard A. Block and David R. Harper (1991), ‘Overconfidence in Estimation: Testing the Anchoring-and-Adjustment Hypothesis’ 15. Don A. Moore (2007), ‘Not So Above Average After All: When People Believe They are Worse Than Average and its Implications for Theories of Bias in Social Comparison’ PART V FAIRNESS 16. Daniel Kahneman, Jack L. Knetsch and Richard H. Thaler (1986), ‘Fairness as a Constraint on Profit Seeking: Entitlements in the Market’ 17. Matthew Rabin (1993), ‘Incorporating Fairness into Game Theory and Economics’ 18. David M. Messick and Keith P. Sentis (1979), ‘Fairness and Preference’ 19. Linda Babcock, George Loewenstein, Samuel Issacharoff and Colin Camerer (1995), ‘Biased Judgements of Fairness in Bargaining’ 20. Ernst Fehr and Urs Fischbacher (2004), ‘Social Norms and Human Cooperation’ PART VI EMOTIONAL INFLUENCES ON DECISION MAKING 21. George Loewenstein (1996), ‘Out of Control: Visceral Influences on Behavior’ 22. Jennifer S. Lerner and Dacher Keltner (2000), ‘Beyond Valence: Toward a Model of Emotion-specific Influences on Judgement and Choice’ 23. Jonathan Haidt (2007), ‘The New Synthesis in Moral Psychology’ 24. Shane Frederick, George Loewenstein and Ted O’Donoghue (2002), ‘Time Discounting and Time Preference: A Critical Review’ 25. Jennifer S. Lerner, Deborah A. Small and George Loewenstein (2004), ‘Heart Strings and Purse Strings: Carryover Effects of Emotions on Economic Decisions’ PART VII INTUITIVE JUDGEMENT 26. Timothy D. Wilson (1994), ‘The Proper Protocol: Validity and Completeness of Verbal Reports’ 27. Barry M. Staw (1976), ‘Knee-Deep in the Big Muddy: A Study of Escalating Commitment to a Chosen Course of Action’ 28. Robyn M. Dawes, David Faust and Paul E. Meehl (1989), ‘Clinical Versus Actuarial Judgement’ 29. Timothy D. Wilson, Douglas J. Lisle, Jonathan W. Schooler, Sara D. Hodges, Kristen J. Klaaren and Suzanne J. LaFleur (1993), ‘Introspecting About Reasons Can Reduce Post-Choice Satisfaction’ 30. Brian A. Nosek, Frederick L. Smyth, Jeffrey J. Hansen, Thierry Devos, Nicole M. Lindner, Kate A. Ranganath, Colin Tucker Smith, Kristina R. Olson, Dolly Chugh, Anthony G. Greenwald and Mahzarin R. Banaji (2007), ‘Pervasiveness and Correlates of Implicit Attitudes and Stereotypes’ 31. Ap Dijksterhuis, Maarten W. Bos, Loran F. Nordgren and Rick B. van Baaren (2006), ‘On Making the Right Choice: The Deliberation-Without-Attention Effect’ 32. John W. Payne, Adriana Samper, James R. Bettman and Mary Frances Luce (2008), ‘Boundary Conditions on Unconscious Thought in Complex Decision Making’ 33. Jennifer A. Whitson and Adam D. Galinsky (2008), ‘Lacking Control Increases Illusory Pattern Perception’

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Book SynopsisStrategic choices made by entrepreneurs have major consequences for SME performance. This book explores the factors that influence entrepreneurial strategic decisions using a cognitive theoretical framework.The proposed model, based on a dual processing approach, integrates motivation, emotions and information processing modes and is tested in several empirical studies. The results show the model's potential for furthering interesting research agendas in entrepreneurial cognition research. The authors also reveal that entrepreneurial cognitions can be elicited and represented in the form of cognitive maps. The structural complexity of the cognitive maps (cognitive complexity) is an important prerequisite of effective strategic decisions and is a core concept for the advancement of our knowledge in entrepreneurial cognition. The book is an informed and interesting exploration of entrepreneurial cognition with both theoretical and methodological contributions to this field of research.Entrepreneurial Strategic Decision-Making will be of great interest to undergraduate students and academics in the field of entrepreneurship. Policymakers will learn from this book to understand the distinctions between various types of entrepreneurial decision-makers and the way they make strategic decisions.Trade Review'This book is a commendable source of reference for entrepreneurship researchers. It offers insight into a number of focused research accounts that may assist other researchers in their entrepreneurship research proposals and execution. . . the literature review section will be of particular value to such early scholars of the field. The book is highly recommended for postgraduate entrepreneurship students and would be worthy of filling a space on any active entrepreneurship researcher's bookshelf.' -- David Douglas, International Journal of Entrepreneurial Behaviour and ResearchTable of ContentsContents: Preface 1. Entrepreneurs and Strategic Decisions Patrick A.M. Vermeulen and Petru L. Curseu PART I: OVERVIEW OF THE LITERATURE 2. The Decision-making Entrepreneur: A Literature Review Petra Gibcus, Patrick A.M. Vermeulen and Elissaveta Radulova 3. The Psychology of Entrepreneurial Strategic Decisions Petru L. Curseu, Patrick A.M. Vermeulen and René M. Bakker 4. The Role of Cognitive Complexity in Entrepreneurial Strategic Decision-making Petru L. Curseu PART II: EMPIRICAL STUDIES 5. Strategic Decision-making Processes in SMEs: An Exploratory Study Petru Gibcus and Peter van Hoesel 6. Entrepreneurial Decision Styles and Cognition in SMEs Gerardus J.M. Lucas, Patrick A.M. Vermeulen and Petru L. Curseu 7. Entrepreneurial Decision-makers and the Use of Biases and Heuristics Marijn J.J. de Kort and Patrick A.M. Vermeulen 8. Risk, Uncertainty and Stakeholder Involvement in Entrepreneurial Decision-making Jaap van den Elshout and Patrick A.M. Vermeulen 9. Entrepreneurial Experience and Innovation: The Mediating Role of Cognitive Complexity Petru L. Curseu and Dinie Louwers 10. Social Capital, Cognitive Complexity and the Innovative Performance of SMEs Daniëlle G.W.M. van Gestel 11. Cognitive Complexity, Industry Dynamism and Risk Taking in Entrepreneurial Decision-making Sjoerd Bosgra 12. Conclusions: An Outline of ESDM Research Petru L. Curseu and Patrick A.M. Vermeulen References Index

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Book SynopsisUntil recently, 'Subjective Expected Utility Theory' was accepted within the economics profession as the theory of rational decision-making under risk and under certainty. However, its pre-eminence in recent years has been undermined as a consequence of a flood of experimental evidence casting doubt on its descriptive accuracy. This book documents the theoretical reconstruction of the theory of decision-making in the aftermath of this flood. It is divided into three parts and contains the key papers introducing and describing new theories of decision under risk, new theories of decision under uncertainty and new theories of dynamic decision-making.Trade Review'. . . the selection of papers is comprehensive, containing both the expected classics and more obscure articles. . . the editor provides an introduction which is a useful route map through the collection.' -- Hugh Gravelle, The Economic JournalTable of ContentsContents: Volume I: Acknowledgements Introduction Part I: Risk Name Index • Volume II: Acknowledgements Part II: Uncertainty and Dynamics Index

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Book SynopsisGary Gastineau and Mark Kritzman team up once again for the third edition of this classic reference tool designed for financial analysts and managers. Anyone involved in financial risk management must have a proper understanding of the words, terms, and phrases used in this fast paced field-and Dictionary of Financial Risk Management clearly provides that understanding. Risk management terminology is a part of almost any financial operation, including cash, forwards/futures, swaps, options-and is found in many disciplines: probability and statistics, tax and financial accounting, and law. The vocabulary of the risk manager continues to expand with the creation of new products and new concepts. This volume carefully defines and illustrates all the words and phrases that financial professionals need to know and understand. The Dictionary of Financial Risk Management includes listings of common acronyms, profit/loss diagrams of new financial instruments, and extensive coverage of derivatives and quantitative techniques. This invaluable reference guide provides comprehensive definitions of the key terms and concepts that many financial professionals need to know on a day-to-day basis.Table of ContentsPreface. Acknowledgments. The Essentials of Financial Risk Management. Dictionary Listings. Appendix. Greek Alphabet. Selected Currency Symbols. Debt Ratings.

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Book SynopsisFaced with constant changes in consumer behavior, marketers are seeking various tools to promote and market their brands. Among those tools, the most impactful is consumer-generated content (CGC). CGC is viewed as a consumer vote of confidence, which is a form of social proof. CGC allows consumers to be involved with the company's marketing strategy. Brands and companies have enabled consumers to be producers of original content, co-creators for an existing brand, and curators for trending ideas in the consumer market.The author explains why it is even more important today that brands need consumer voices to advocate their brands. In this lively and practical book, she uses theories to explain consumer psychology and offers practical examples of which social media platforms are conducive to CGC and why. In addition, she explains how consumers use CGC in different countries, the importance of influencer marketing, and ultimately teaches the strategy of using CGC effectively.

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Book SynopsisBusiness analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This book is intended to present key concepts related to quantitative analysis in business. It is targeted to business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.

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Book SynopsisQualitative research manages the fundamental challenge in interpreting the complexities associated with consumer behavior, particularly in large diversified marketplace and guides managers towards understanding consumers. This book discusses qualitative research modeling and new approaches of qualitative data collection, interpretation of results, reporting, and deriving managerial implications.Discussions in the book present new insights on conducting and applying qualitative market research and emphasizes on the application of qualitative research in consumer-centric companies. The book argues that companies need to consider a broader perspective of marketing research to support marketing decisions derived by understanding consumer behavior using qualitative research methodology.

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Book SynopsisProject portfolio management (PfM) is a critically important discipline, which organizations must embrace in order to extract the maximum value from their project investments. Essentially, PfM can be defined as the translation of strategy and organizational objectives into projects, programs, and operations (portfolio components); the allocation of resources to portfolio components according to organizational priorities; alignment of components to one or more organizational objectives and the management and control of these components in order to achieve organizational objectives and benefits.The interest and contribution to the body of knowledge in project portfolio management has been growing significantly in recent years, however, a particular area of concern is the decision-making, during the management of the portfolio, regarding which portfolio components to accelerate, suspend, or terminate. Failing to determine how the individual and cumulative components of a portfolio contribute to an organization’s strategic objectives leads to poorly informed decisions that negate the positive effect that a sound understanding of project portfolio management could have in an organization. The focus of this book is aimed at providing a mechanism to determine the individual and cumulative contribution of portfolio components to strategic objectives so that the right decisions can be made regarding those components.

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Book SynopsisSurvey research is a powerful tool to help understand how and why individuals behave the way they do. Properly conducted, surveys can provide accurate insights into areas such as attitudes, opinions, motivations, and values, which serve as the drivers of individual behavior.This two-volume book is intended to introduce fundamentals of good survey research to students and practitioners of the survey process as well as end-users of survey information. This second volume focuses on carrying out a survey— including how to formulate survey questions, steps that researchers must use when conducting the survey, and impacts of rapidly changing technology on survey design and execution. The authors conclude with an important, but often neglected aspect of surveys—the presentation of results in different formats appropriate to different audiences.

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Book SynopsisThe importance of data doesn't need an introduction or a fancy pitch deck. Data plays a critical role in helping companies to better understand their users, beat out their competitors and breakthrough their growth targets. However, despite significant investments in their data, most organizations struggle to get much value from it. According to Forrester, only 38% of senior executives and decision-makers “have a high level of confidence in their customer insights and only 33% trust the analytics they generate from their business operations.” This reflects the real world that I have experienced. In this book, I will help readers formulate an analytics strategy that works in the real world, show them how to think about KPIs and help them tackle the problems they are bound to come across as they try to use data to make better decisions. The overall goal of this book is to help readers find actionable insights within their data. For example, I helped one client use data to discover a bug that was preventing over 50% of their users from actually using their product. Another client realized that one of their marketing channels was driving 80% of their sales and were able to decrease their marketing costs by optimizing their campaigns around this channel. These are the types of insights that will be available to all readers after going through this book.

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Book SynopsisThere was a time when crises on college and university campuses were relatively rare. Much has changed, and it has changed quite rapidly. Rather than being isolated incidents requiring the sole attention of presidents, chancellors, or communication professionals, the proliferation of crises across campuses means that crisis leadership has now become fundamental to the work of university personnel across levels, disciplines, and institutions. Drawing upon the findings of forty interviews with senior leaders from ten major research universities across the United States and a content analysis of over one thousand articles from a variety of news outlets, Crisis Leadership in Higher Education presents a theory-informed framework for academic and administrative leaders who must navigate the institutional and environmental crises that are most germane to institutions of higher education. The perspectives offered in this book remind us that it is in the chaos and uncertainty of crisis that leadership becomes most visible and most critical.Trade Review“In this time of rapid change in higher education, it is incumbent upon every academic leader to know how to act effectively in a crisis. Sound crisis leadership saves careers, keeps academic institutions from being weakened or destroyed, and helps protects the students those institutions serve. I believe that every administrator and faculty leader should be acquainted with the ideas presented in Crisis Leadership in Higher Education: Theory and Practice and be prepared to adopt the framework it presents as a means of preserving the integrity of their universities, colleges, and programs.” -- Jeffrey L. Buller * author of The Essential Academic Dean or Provost: A Comprehensive Desk Reference *"If ever there was a book for its time, Crisis in Higher Education: Theory and Practice by Ralph Gigliotti is it. The crises befalling higher education today are coming fast and furious, and the demands placed upon academic leaders are numerous. Crisis management requires a highly coordinated effort, a heightened sensitivity to context, serving the needs of multiple constituencies, and seamless execution. Dr. Gigliotti’s book is a rich study of the most current academic crises, a practical exploration of the lessons learned, and a competencies scorecard that is a valuable tool. Although leadership in higher education has historically been a neglected area of research, Ralph Gigliotti admirably steps in to fill that gap. This book is a must read for leadership scholars and academic practitioners alike." -- Gail T. Fairhurst * author of The Power of Framing: Creating the Language of Leadership *“The issue of crisis communication is vital in today's historical moment. Crisis Leadership in Higher Education is unlike any book I’ve ever seen, blending the voices of administrators with the literature on crisis in order to offer insights that will be valuable to the community of academic administrators.” -- Janie Harden Fritz, Ph.D., author of Professional Civility * editor of Journal of the Association for Communication Administration *"Read this book. Now. If you wait until you need it to address a crisis, you may end up finding yourself with lots of unintended time to read it and to consider options that might have led to better outcomes." -- Robin Kaler * Associate Chancellor for Public Affairs, University of Illinois at Urbana-Champaign *"When a college or university is plunged into crisis—whether by deeds of its own making or by circumstances beyond its control—the very future of the institution may seem to hang in the balance and the quality of its leadership is tested as never before. Drawing masterfully upon interviews with forty senior leaders from major research universities and upon an exhaustive survey of news stories, Ralph Gigliotti has given us both a path-breaking analysis of higher education crises and a remarkably insightful guide to surviving and surmounting them." -- President Emeritus and Distinguished Professor of History and Education, Rutgers University * Richard McCormick, Ph.D. *"Selected New Books on Higher Education" compiled by Ki-Jana Deadwyler and Ruth Hammond https://www.chronicle.com/article/Selected-New-Books-on-Higher/247370 * Chronicle of Higher Education *"The Best Way to Prepare for Disaster: Crisis Leadership and Higher Ed" interview with Ralph Gigliotti https://evolllution.com/managing-institution/operations_efficiency/the-best-way-to-prepare-for-disaster-crisis-leadership-and-higher-ed/ * The Evolllution *"Crisis Leadership and the Higher Education Response to the COVID-19 Outbreak" by Ralph Gigliotti https://evolllution.com/managing-institution/operations_efficiency/crisis-leadership-and-the-higher-education-response-to-the-covid-19-outbreak/ * The Evolllution *"This book offers something for everyone. The interview data from senior-level higher education administrators creates a certain intimacy. The real-life case studies and crisis headlines convey real urgency facing crisis leaders. The literature review and content analysis of crisis articles give credit to the relationship between scholarship and practice. With the end-of-chapter exercises, opportunities are abundant for self- and organizational reflective practice. In reviewing this book, I was drawn to the professional inference, especially in light of our doctoral program creating a new course focusing on crisis leadership. However, this book offers much more than a course reading—it allows for professional retrospections, personal remembrances relative to how one defines or describes crisis, and how and why one engages in certain decisions/actions/responses during specific events/situations." * The Department Chair *"Post-pandemic: The power of crisis management planning," by Alaina G. Levine * Science Magazine *Table of ContentsContents 1 The Landscape of Crisis in Higher Education: Introduction and Context 2 The Social Construction of Crisis in Higher Education: The Perception of Crisis, the Reality of Crisis 3 The Process of Defining and Labeling Phenomena as Crises 4 The Characterization and Categorization of Crises in Higher Education 5 Centrality of Communication in the Theory and Practice of Crisis Leadership 6 Crisis Adaptation of Leadership Competencies Scorecard for Leaders in Higher Education 7 Implications for Effective Crisis Leadership in Higher Education Acknowledgments Notes References Index

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Book SynopsisThis textbook presents a coherent and robust structure for integrated risk management in the context of operations and finance. It explains how the operations-finance interface jointly optimizes material and financial flows under intricate risk exposures. The book covers financial flexibility, operational hedging, enterprise risk management (ERM), supply chain risk management (SCRM), integrated risk management (IRM), supply chain finance (SCF), and financial management of supply chain strategies. Both qualitative and quantitative approaches – including conceptualization, theory building, analytical modeling, and empirical research – are used to assess the value creation by integrating operations and finance. “This book provides a comprehensive description of the interactions between finance and operations and of how managers can best make decisions in recognition of these effects.” John R. Birge, University of Chicago“Supply chain finance is an emerging area where innovations can unlock great values to complement the advances in information and physical flows of supply chain.” Hau L. Lee, Stanford University“This book provides an excellent overview of supply chain finance and its most recent advances.” Jan A. Van Mieghem, Northwestern University“This book is indispensable for advanced students as well as practitioners when looking for a pedagogical sound and scientific rigorous approach to Supply Chain Finance.” Ralf W. Seifert, IMD/EPFL“The book advances our knowledge on the interface between operations and finance and provides managerial guidelines for effective risk management in the supply chain.” Xiande Zhao, CEIBSTrade Review“The book provides a comprehensive description of the interactions between finance and operations in the management of firms by also providing tools for best making decisions in the field. … The book can be very useful for students, practitioners and academics, as well as researchers and global managers, who can find in it valuable insights and directions for further investigation.” (Doina Carp, zbMATH 13.93.90.003m, 2018)Table of ContentsIntroduction to Operations-finance Interface.- Capital Structure and Financial Risk Management.- Supply Chain Risk Management.- Integrated Risk Management in Multinational Corporations.- Integrated Risk Management with Capacity Reshoring.- Supply Chain Finance.- Managing Supplier Financial Risk with Pre-shipment Finance Instruments.- Research Overview of Operations-finance Interface.

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Book SynopsisThis book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.Table of ContentsChapter 1. Data Envelopment Analysis and Big Data: A Systematic Literature Review with Bibliometric Analysis.- Chapter 2. Acceleration of large-scale DEA computations using random forest classification.- Chapter 3. The estimation of productive efficiency through machine learning techniques: Efficiency Analysis Trees.- Chapter 4. Hybrid Data Science and Reinforcement Learning in Data Envelopment Analysis.- Chapter 5. Aggregation of Outputs and Inputs for DEA Analysis of Hospital Efficiency: Economics, Operations Research and Data Science Perspectives.- Chapter 6. Parallel Processing and Large-Scale Datasets in Data Envelopment Analysis.- Chapter 7. Network DEA and Big Data with an Application to the Coronavirus Pandemic.- Chapter 8. Hierarchical Data Envelopment Analysis for Classification of High-Dimensional Data.- Chapter 9. Dominance Network Analysis: Hybridizing DEA and Complex Networks for Data Analytics.- Chapter 10. Value extracting in relative performance appraisal with network DEA: an application to U.S. equity mutual funds.- Chapter 11. Measuring Chinese bank performance with undesirable outputs: a slack-based two-stage network DEA approach.- Chapter 12. Using Network DEA and Grey Prediction Model for Big Data Analysis: An Application in the Global Airline Efficiency.

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Book SynopsisThis book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving stochastic methods. The list of topics specially covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi objective optimization, and Game Theory, as well as linear algebraic equations, and probability and statistics. The book also provides a selection of numerical methods developed for Excel, in order to enhance readers’ understanding. As such, it offers a valuable guide for all graduate and undergraduate students in the fields of economics, business administration, civil engineering, and others that rely on Excel as a research tool.Table of ContentsChapter 1: Some tips to use EXCEL.- Chapter 2: Some useful Numerical Methods.- Chapter 3: Probabilities with EXCEL.- Chapter 4: Stochastic Processes.- Chapter 5: Representation of Random Variables.- Chapter 6: Uncertain Algebraic Equations.- Chapter 7: Random Differential Equations.- Chapter 8: UQ in Game Theory.- Chapter 9: Optimization under uncertainty.- Chapter 10: Reliability.- Bibliography.- Index.

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Book SynopsisThis textbook treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why. The introductory chapters explain graph colouring, complexity theory, bounds and constructive algorithms. The author then shows how advanced, graph colouring techniques can be applied to classic real-world operational research problems such as designing seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by an online suite of downloadable code. The book is of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.Table of Contents1. Introduction to Graph Colouring.- 2. Bounds and Constructive Algorithms.- 3. Advanced Techniques for Graph Colouring.- 4. Algorithm Case Studies.- 5. Applications and Extensions.- 6. Designing Seating Plans.- 7. Designing Sports Leagues.- 8. Designing University Timetables.

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Book SynopsisThis book presents an interdisciplinary approach to conflict solution focusing on a very specific type of conflict, retributive conflicts . It is unique in the treatment of these and how relative measurement is used to find equilibrium solutions. The authors present an alternative process to address the Israeli-Palestinian conflict. They do so in two ways that are different from past efforts. The first is by formally structuring the conflict and the second is the manner in which discussions were conducted and conclusions drawn. The approach will help create a solution and provide negotiators with a unique pathway to consider the thorny issues and corresponding concessions underlying the deliberations, together with their implementation. The Analytic Hierarchy Process (AHP) provides a way to conflict solution with the participation of negotiators for the parties. It is a positive approach that makes it possible to reason and express feelings and judgments with numerical intensities to derive priorities. With the assistance of panels of Israeli participants and Palestinian participants brought together in 2006 to 2017, AHP was applied for the first time in a group setting to the Palestinian-Israeli conflict. The process makes it clear that moderation in different degrees by both sides is essential to arrive at acceptable agreements on concessions proposed and agreed upon by both sides.Trade Review“This book will become a classic and the go-to reference handbook for negotiating retributive conflicts using the AHP approach. … The book is nicely printed by Springer and is pleasant to read.” (Enrique Mu, International Journal of the Analytic Hierarchy Process, Vol. 13 (3), 2021)Table of ContentsLaying the Groundwork.- The Middle East Conflict.- The Analytic Hierarchy Process.- Retributive Conflicts and the AHP.- Structuring the Hierarchy to Make Tradeoffs.- Lessons Learned.- The Pittsburgh Principles.- Implementation to the Principles.- The Palestinian Refugee Problem.- Strategic Communications.- Looking Ahead.

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Book SynopsisThis book unifies and extends the definition and measurement of economic efficiency and its use as a real-life benchmarking technique for actual organizations. Analytically, the book relies on the economic theory of duality as guiding framework. Empirically, it shows how the alternative models can be implemented by way of Data Envelopment Analysis. An accompanying software programmed in the open-source Julia language is used to solve the models. The package is a self-contained set of functions that can be used for individual learning and instruction. The source code, associated documentation, and replication notebooks are available online. The book discusses the concept of economic efficiency at the firm level, comparing observed to optimal economic performance, and its decomposition according to technical and allocative criteria. Depending on the underlying technical efficiency measure, economic efficiency can be decomposed multiplicatively or additively. Part I of the book deals with the classic multiplicative approach that decomposes cost and revenue efficiency based on radial distance functions. Subsequently, the book examines how these partial approaches can be expanded to the notion of profitability efficiency, considering both the input and output dimensions of the firm, and relying on the generalized distance function for the measurement of technical efficiency. Part II is devoted to the recent additive framework related to the decomposition of economic inefficiency defined in terms of cost, revenue, and profit. The book presents economic models for the Russell and enhanced graph Russell measures, the weighted additive distance function, the directional distance function, the modified directional distance function, and the Hölder distance function. Each model is presented in a separate chapter. New approaches that qualify and generalize previous results are also introduced in the last chapters, including the reverse directional distance function and the general direct approach. The book concludes by highlighting the importance of benchmarking economic efficiency for all business stakeholders and recalling the main conclusions obtained from many years of research on this topic. The book offers different alternatives to measure economic efficiency based on a set of desirable properties and advises on the choice of specific economic efficiency models.Table of ContentsChapter 1: Introduction.- Chapter 2: Conceptual background: firms’ objectives, decision variables and economic efficiency.- Part I.- Chapter 3: Shephard’s input and output distance functions: cost and revenue efficiency decompositions.- Chapter 4: The generalized distance function (GDF): Profitability efficiency decomposition.- Part II.- Chapter 5: The Russell Measures: Economic Inefficiency Decompositions.- Chapter 6: The Weighted Additive Distance Function (WADF): Economic inefficiency decompositions.- Chapter 7: The enhanced Russell graph measure (ERG=SBM): economic inefficiency decompositions.- Chapter 8: The directional distance function (DDF): economic inefficiency decompositions.- Chapter 9: The Hölder distance functions: economic inefficiency decompositions.- Chapter 10: The loss distance function: economic inefficiency decompositions.- Chapter 11: The modified directional distance function (MDDF): economic inefficiency decompositions.- Chapter 12: The reverse directional distance function (RDDF): economic inefficiency decompositions.- Chapter 13: A unifying framework for decomposing economic inefficiency: The general direct approach and the standard and flexible reverse approaches.- Chapter 14: A final overview: economic efficency models and properties.- Bibliography.- Subject Index.- Author Index.

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Book SynopsisThis book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Second International Workshop on Best-Worst Method (BWM2021), held in Delft, The Netherlands from 10-11 June, 2021, and provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. The book highlights the use of BWM in different settings including single decision-making vs group decision-making, and complete information vs incomplete and uncertain situations. The papers gathered here will benefit academics and practitioners who are involved in multi-criteria decision-making and decision analysis.Table of ContentsPreface.- The balancing role of Best and Worst in Best-Worst Method.- Hierarchical evaluation of criteria and alternatives within BWM: A Mon-te Carlo approach.- A two-step Best-Worst Method (BWM) and K-Means clustering recom-mender system framework.- A linguistic 2-tuple Best-Worst Method.- How does the entrepreneurship ecosystem contribute to the perfor-mance of entrepreneurial start-up firms?.- A multi-attribute decision-making to sustainable construction material selection: A Bayesian BWM-SAW hybrid model.- Risk assessment of passenger flow in an urban rail transit system: indi-cators, application, and analysis.- Bridge infrastructure resilience analysis against seismic hazard using Best-Worst Method.- A value-focused approach for the design of innovative logistics con-cepts: the case of off-peak pickup and delivery in the air cargo industry.- An Innovative digital maturity assessment model for smart cities.- Determining the importance of barriers to IoT implementation using Bayesian Best-Worst Method.- Assessment of environmental performance criteria in textile industry using the Best-Worst Method.

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Book SynopsisThis book constitutes the refereed proceedings of the Third International Meeting on Innovation for Systems Information and Decision, INSID 2021, which was held during December 1-3, 2021. The conference was initially planned to take place in Recife, Brazil, but changed to a virtual meeting due to the COVID-19 pandemic. The 9 full papers presented in this volume were carefully reviewed and selected from a total of 76 submissions. They reflect methodological improvements and advances in multi-criteria decision-making/multi-criteria decision-aid (MCDM/MCDA) oriented toward real-world applications, which contribute to the understanding of relevant developments of current research on and future trends of innovation for systems information and decision. Table of ContentsFITradeoff Based Analysis of Cultural Tourism Products Regarding Post-Industrial Heritage in Czeladź Commune in Poland.- The worth of cardinal information in MCDM – a guide to selecting weight-generating functions.- Efficiency of competitiveness evaluation of medium-lift launch vehicle (MLV) using integrated DEA-TOPSIS model.- Japanese port alliance: Cooperative game theory analysis.- Improving the Elicitation Process for Intra-criterion Evaluation in the FITradeoff Method.- Manufacturing Execution System Selection by Use of Multicriteria Partial Information Method.- Incorporating Hierarchical Criteria Structure in the FITradeoff Method.- A user interface for consistent AHP pairwise comparisons.- A Problem Structuring Multimethodology to Support a Post-graduation Course on Implant Dentistry.

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Book SynopsisThe book presents the proceedings of the 6th EAI International Conference on Management of Manufacturing Systems (MMS 2021), which took place online on October 6, 2021. The conference covered management of manufacturing systems with support for Industry 4.0, logistics and intelligent manufacturing systems and applications, cooperation management and its effective applications. Topics include RFID applications, economic impacts in logistics, ICT support for Industry 4.0, industrial and smart logistics, intelligent manufacturing systems and applications, and much more.Table of ContentsPart I. Industry 4.0.- Chapter 1. Monitoring of an industrial process based on Industry 4.0.- Chapter 2. Challenges and Benefits for Detecting Soon-to-Fail Drives in Industry 4.0.- Chapter 3. End-users and Industry 4.0 systems cyber resilience from XSS attacks.- Chapter 4. Education and Its Role in Risk Management in the Context of Industry 4.0.- Chapter 5. Using Quality Management Tools to Analyze the Error Rate in the Production Process.- Part II. Sustainable Communications & Information and communications technology.- Chapter 6. A Taxonomy of Cyber Attacks in Smart Manufacturing Systems.- Chapter 7. Analyzing performance of Wireless Network Based on the Industrial HART Protocol.- Chapter 8. Modeling the Business Purchase Process Using InnIoTShop Solution in a Store Environment.- Part III. Smart Techniques/Smart Technology.- Chapter 9. Polyvinyl Butyral (PVB) as a Significant Material used by Additive Manufacturing.- Chapter 10. Optimization of the Production Process and Defect Iden-tification in the Production of Face Shields Using Fused Deposition Modeling Technology.- Chapter 11. The utilization of progressive methods in the manufacture and maintenance of aircraft components.- Part IV. Education and Awareness of Sustainability.- Chapter 12. The Specifics of the Silver Generation Shopping Behavior in the selected cities of Western Slovakia.- Chapter 13. Impacts of the Covid-19 pandemic on the educational process of the Faculty of Civil Engineering in Košice - use of innovative educational technologies.- Chapter 14. Application of the Vernier measuring system as a smart element in Physics education process.- Part V. Sustainable Industrial Development.- Chapter 15. ICT Cost Impact Model in Construction Project Management.- Chapter 16. Relationship Marketing - a Modern Marketing Strategy as a Tool to Increase the Competitiveness of the Company in the Market.- Chapter 17. Using Economical-Mathematics Method of Input-Output Analysis as a Tool for Cost Calculation of Steel Construction Production.- Chapter 18. Possible methods of valuing startups.

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Book SynopsisOperations Research (OR) is a fast-evolving field, which is having a significant impact on its neighbouring disciplines of Business Analytics and Data Science, and on contemporary business and management practices. This handbook provides a comprehensive and cutting edge collection of studies in the area. Views differ on what should be included within the scope of OR. The editors of this volume have taken the view that an inclusive stance is the most helpful, both for theory and practice. Real-world problems often require consideration from both ‘softer’ and ‘harder’ perspectives and need consideration of both predictive and prescriptive problems. In accordance with this inclusive approach to OR, the book is divided into six parts, covering Discrete Optimization, Continuous Optimization, Heuristic Search Optimization, Forecasting, Simulation and Prediction, Problem Structuring and Behavioural OR, and finally some recent OR Applications.This wide-ranging handbook includes a culturally diverse collection of authors, with different perspectives and backgrounds around Operations Research. It will be of tremendous value to researchers, students and practitioners in the field of ORTable of Contents

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Book SynopsisThis book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.Table of ContentsA Vertical Fragmentation Method for Multimedia Databases Considering Content-based Queries.- An approach based on process mining techniques to support software development.

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Book SynopsisThis book provides a blend of quantitative and qualitative approaches to decision making, while also bridging the gap between the theory of how to make good decisions versus how people actually make decisions. The authors present the tools and techniques of decision analysis to learn how to become a FOCCUSSED decision maker: Identify and properly Frame the decision or problem at hand Specify the goals, Objectives, and values that you are trying to achieve Develop creative, meaningful Choices from among which you can choose Evaluate the Consequences of selecting each alternative using your goals, objectives, and values Think about the key Uncertainties that could impact the decision Understand the Swaps and trade-offs that you are willing to make Develop an approach for implementing your Solution Elicit the data you’ll need from a variety of sources and Disseminate and communicate your decisions to others. The authors define a decision as the choice among alternatives, based on how we value and trade-off their pros and cons, made in the face of uncertainty about what will actually happen. The decision-making process is presented as having three pillars to support the decision maker: Preferences–what we prefer, what meets our goals and objectives, and the recognition that preferences are personal to the one making the decision; Alternatives–the choices, options, or courses of action that we have, and over which we have some degree of control; and Information–what we know about the situation, what we don’t know, how we connect choices to outcomes, and how we deal with uncertainty. Key components of good decision-making include how to define your goals and objectives, how to incorporate uncertainties that we all face, and how to develop better alternatives, all of which are discussed. Sophisticated techniques are presented in a way that is accessible to the average decision maker. Probability theory is utilized to improve decisions, and uncertainties are captured in decision trees. Risk avoidance, risk transfer, and risk mitigation are also discussed. Readers will gain a clear understanding of how to articulate the goals and objectives that should be the focal point of any decision.Table of ContentsIntroduction.- Framing the Decision.- Understanding Objectives and Values.- Creating Choices.- Identifying Consequences.- Incorporating Uncertainty.- Making Swaps and Trade-offs.- Selecting Solutions.- Eliciting Data: Making Your Decision-Making Processes More Productive.- Disseminating and Communicating Your Decisions.- FOCCUSSED Decision Making Wrap-Up.

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Book SynopsisThis 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. 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.Table of ContentsPart 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.

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Book SynopsisThis book provides relevant theoretical frameworks and the latest empirical research findings in Operations Research (OR) and Management Science (MS) as applied to sustainability. Its goal is to identify and describe ways in which OR and MS have been applied to and influenced the development of sustainability. Many of the issues we face today stem from the interconnectivity of the economy, society, and the environment, and from how both the economy and society are affecting the environment. In response, there have been a range of local and global efforts to advance society without harming the natural environment. The book showcases how OR/MS can help to address these issues, specifically with regard to renewable energy, smart industry, smart cities, transportation, smart homes and devices, etc. This book is intended for professionals in the fields of energy, engineering, information science, mathematics and economics, and for researchers who wish to develop new skills in connection with sustainability, or whose work involves sustainability.Table of ContentsSustainability. Cases and Studies in Using Operations Research and Management Science Methods.- What is Sustainability? A Layman Perspective.- Sustainable Supply Chain Management: Definition, Bibliometrics, Applications and Future Directions.- Applications of Machine Learning Algorithms in Data Sciences.- The machine learning model for identifying bogus profiles in social networking sites.- Support Vector Machine and K-fold cross validation to detect false alarms in wind turbines.- A Hybrid Neural Network Model Based on Convolutional Cascade Neural Networks: An Application for Image Inspection in Production.- A multi-objective sustainable traffic signal control for smart cities under uncertainty.- Multi Criteria Decision Making for Sustainable Transport: A Case Study on Traffic Flow Prediction Using Spatial-Temporal Traffic Sequence.- A Robust Prognostic Indicator for Renewable Energy Fuel Cells: A Hybrid Data-Driven Prediction Approach.- An Assessment of Electricity Markets in Turkey: Price Mechanisms, Regulations, and Methods.- The role of DevOps in Sustainable Enterprise Development.- Practices and indicators of waste and resource management in commercial buildings.- A descriptive comprehension study on solar energy, solar products, and solar product marketing in Indian context.- Precision Livestock Farming (PLF) Systems – Improving Sustainability and Efficiency of Animal Production.- Environmental Assessment of Rural Road Construction in India.- Perspectives on the sustainable steel production process: a critical review of the carbon dioxide (CO2) to methane (CH4) conversion process.- Exergy, Anergy and Sustainability.- Simulating complex relationships between pollutants and the environment using regression splines: A case study for landfill leachate.

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Book SynopsisThis book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.

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Book SynopsisThis book introduces readers to multicriteria decision aiding (MCDA) interventions used in complex situations.

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Book SynopsisThis book constitutes the proceedings of the 9th International Conference on Decision Support Systems Technologies, ICDSST 2023, held during May 30 – June 1, 2023.The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main theme of this year was “Decision Support Systems in An Uncertain World: The Contribution of Digital Twins”. The 21 papers presented in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: DSS models, methods, and tools; DSS for business performance and stakeholders; DSS applications for sustainability in health, energy and transportation; and DSS users and successful adoption.Table of ContentsMulti-actor VIKOR method for highway selection in Montenegro.- A tool to support the decisions for the trace clustering problem with a non-compensatory approach.- An Asset-Based Causal Loop Model to Improve Corporate Value.- Time-aware Optimisation Models for Hospital Logistics.- Prevention and Detection of Network Attacks: A Comprehensive Study.- Section 2: DSS for business performance and stakeholders.- A Literature Review on the Contribution of Industry 4.0 Technologies in OEE Improvement.- MAMCABM: A data-driven stakeholder-based decision-support system that considers uncertainties.- BPR Assessment Framework: Staging Business Processes for Redesign using Cluster Analysis.- A Lean Knowledge Management Processes Framework for Improving the Performance of Manufacturing Supply Chain Decisions in an Uncertain World.- Integrating Existing Knowledge to Accelerate Buildings Renovation Rates in Europe.- Equity-based allocation criteria for water deficit periods: A case study in South Africa.- Section 3: DSS applications for sustainability - health, energy and transportation.- Attracting financing for green energy projects: a city readiness index.- Building risk prediction models for diabetes decision support system.- AHP method applied to the evaluation of costs and pollution emitted by combined means of transport, case of SMMC port Toamasina.- Evaluate the potential of the Physical Internet for last mile delivery in developing countries.- Towards an integrative assessment model for port sustainability decisions: a systematic review.- Section 4: DSS users and successful adoption.- An investigation on Cloud ERP adoption using Technology-Organisation- Environment (TOE) and Diffusion of Innovation (DOI) theories: a systematic review.- Young Elderly DSS Users - Some Reasons for Successful Adoption.- Behavioral studies for the use of visualization in holistic evaluation for multicriteria decision problems decision.- A Digital Distance Learning Critical Success Factors Model for Conducting Learning Analytics Research.- Scientific Authorship in DSS Research: Past Trends and Future Opportunities.

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Book SynopsisThis book constitutes the refereed proceedings of the 8th International Conference on Business Intelligence, CBI 2023, which held in Istanbul, Turkey, during July 19–21, 2023.The 15 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: artificial intelligence and business intelligence; and optimization and decision support. Table of ContentsArtificial Intelligence and Business Intelligence.- A business intelligence system for governing risks in SMEs.- A Systematic Analysis for Machine Learning Based Cow Price Prediction.- Deep learning models for cybersecurity in IoT networks.- Diabetes prediction by machine learning algorithms and risks factors.- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study.- Ontology-based Mediation with Quality Criteria.- Predicting driving license applicant’s performance for Car Reverse Test System.- Optimization and Decision Support.- A Comparative Study on the implementation of Blockchain in Supply Chain Models.- A Hybrid Approach of Dijkstra’s algorithm and A* search, with an optional adaptive threshold heuristic.- Causal Discovery and features importance analysis: What can be inferred about at-risk students?.- Computational features and applications of an inhomogeneous Gompertz diffusion process?.- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment.- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem.- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates.- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset.

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Book SynopsisA new era is emerging in which a group of quantitative methods featuring characteristics of multidimensional comparative analysis (MCA) and multi-criteria decision-making analysis (MCDA) can be used to automate objective decision-making processes. This book introduces the character of the criteria (desirable, non-desirable, motivating, demotivating, and neutral) to MCDA and MCA methods. It presents the author’s own developed methods, the preference vector method (PVM), for solving multi-criteria problems in decision making; and, vector measure construction method (VMCM), which is dedicated to solving typical problems in the field of multidimensional comparative analysis. All methods are explained step by step with relevant examples, primarily in the fields of economics and management.Table of ContentsChapter 1 Introduction.- Chapter 2 Problems of multi-criteria and multidimensionality in decision support.- Part I: Methods of multidimensional comparative analysis.- Chapter 3 Initial data analysis procedure.- Chapter 4 Methods for building aggregate measures.- Part II: Multi-criteria decision support methods.- Chapter 5 Methods based on the outranking relationship.- Chapter 6 Methods based on the utility function.- Chapter 7 Multi-criteria methods using function points.- Chapter 8 Conclusions.

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Book SynopsisAuthored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.Table of ContentsFoundations of Decision.- Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in uncertainty environment.- The Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) in uncertainty environment.- The Multi-Objective Optimization Ratio Analysis (MOORA) in uncertainty environment.

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Book SynopsisHuman decisions, especially in management and personnel selection, are based on making judgments about people analytically and intuitively. Yet in business and scientific contexts, judgments are expected to be based on a rational analysis rather than intuitions or emotions. Intuition is often seen as something mystical that should not be trusted and thus eliminated from human decision-making. Our empirical and theoretical research shows that this is impossible when people are dealing with people. Instead, intuitions and emotions have significant power in the decision-making process. Neuroscience even shows that humans are incapable of switching off their emotions or intuitions when making decisions. Therefore, intuition and emotions as evolutionary achievements of human beings should be looked at more closely to use the wisdom they offer. This book provides an insight into the current state of research on rational-analytical procedures in personnel selection and complements this with research on intuitions and emotions in personnel diagnostics. By integrating scientifically verifiable rational-analytical decision-making procedures with the inner experiential knowledge of people, this book bridges two complementary ways of recognizing and making good decisions. It demonstrates how intuitions are developed and used in different fields of practice and cultures and how scientific research results from rational-analytical and intuitive-emotional selection procedures are successfully integrated by practitioners.

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Book SynopsisThis essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code.Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.Table of ContentsIntroduction to Spreadsheet Modelling and Metaheuristics.- General Concepts in Metaheuristic Search.- Greedy Randomized Adaptive Search Procedures.- Tabu Search.- Black-box Solvers.

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Book SynopsisThe topic of this book is known as dynamic scheduling, and is used to refer to three dimensions of project management and scheduling: the construction of a baseline schedule and the analysis of a project schedule’s risk as preparation of the project control phase during project progress. This dynamic scheduling point of view implicitly assumes that the usability of a project’s baseline schedule is rather limited and only acts as a point of reference in the project life cycle. Consequently, a project schedule should especially be considered as nothing more than a predictive model that can be used for resource efficiency calculations, time and cost risk analyses, project tracking and performance measurement, and so on.In this book, the three dimensions of dynamic scheduling are highlighted in detail and are based on and inspired by a combination of academic research studies at Ghent University (www.ugent.be), in-company trainings at Vlerick Business School (www.vlerick.com) and consultancy projects at OR-AS (www.or-as.be). First, the construction of a project baseline schedule is a central theme throughout the various chapters of the book, and is discussed from a complexity point of view with and without the presence of project resources. Second, the creation of an awareness of the weak parts in a baseline schedule is discussed at the end of the two baseline scheduling parts as schedule risk analysis techniques that can be applied on top of the baseline schedule. Third, the baseline schedule and its risk analyses can be used as guidelines during the project control step where actual deviations can be corrected within the margins of the project’s time and cost reserves.The second edition of this book has seen corrections, additions and amendments in detail throughout the book. Moreover Chapter 15 on "Dynamic Scheduling with ProTrack" has been completely rewritten and extended with a section on "ProTrack as a research tool".Trade ReviewFrom the reviews of the second edition:“This book is brought in such a way that it is able to inform a wide audience about the current state-of-the-art principles in dynamic project scheduling. The target audience can consist of undergraduate or MBA students following a project management course, participants of company trainings with a focus on scheduling or software users who search for added value when using software tools. … I recommend this book as a compliment to your project management studies and especially for those already working in this area.” (Inspire and Action blog, inspireandaction.wordpress.com, December, 2013)Table of ContentsPreface.- I Scheduling without resources.- II Scheduling with resources.- III Project control.- IV Scheduling with software.- V Conclusions.- Index.

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Book SynopsisDurch den zunehmenden Einsatz von erneuerbaren Energien befindet sich das deutsche Elektrizitätsversorgungssystem in einer grundlegenden Transformation. Dies wirkt sich auf verschiedenste Bereiche der Energiewirtschaft aus. Ein Beispiel hierfür ist der Stromhandel. Die häufig starken, durch externe Faktoren wie Wind und Sonne bestimmten Fluktuationen der Stromerzeugung aus erneuerbaren Energien führen gegenüber dem Handel mit Strom aus konventionellen Energieträgern zu signifikant anderen Rahmenbedingungen. Dies erfordert unter anderem die Verwendung von zuverlässigen Prognosen der Stromerzeugungsleistung. Darüber hinaus sind beim Handel mit Strom aus erneuerbaren Energien auch verschiedene gesetzliche und regulatorische Besonderheiten zu beachten. In dieser Veröffentlichung werden die wesentlichen Aspekte des Handels mit Strom aus erneuerbaren Energien in kompakter Form dargestellt.Trade Review“... Gerichtet ist das Buch neben Fach- und Führungskräften auch an den Studierende und Lehrende sowie Strommarktinteressierte ...” (Till Weber, in: Renews - Newsletter der Agentur für Erneuerbare Energien, unendlich-viel-energie.de, 30. Juni 2015)Table of Contents​Überblick über den deutschen Strommarkt.- Gesetzliche Förderung erneuerbarer Energien.- Vermarktung von Strom aus erneuerbaren Energien.

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Book SynopsisMit dem Konzept der zeitflexiblen Losgrößen- und Reihenfolgeplanung zeigt Jonas Ostmeyer einen Weg auf, der von der zeitpunkt- hin zu einer zeitfensterbezogenen Planung führt. Lieferzeitfenster ermöglichen die Abbildung langfristiger volumenbasierter Aufträge in Zulieferer-Abnehmer-Kooperationen über mehrere Zeiträume. Produktionszeitfenster befähigen zur Berücksichtigung frühester Zeitpunkte, vor denen mit der Produktion nicht begonnen werden darf. Beide Konzepte helfen dabei, in Unternehmen auftretende Anwendungen praxisnah abzubilden. Zudem stellen die entwickelten Lösungsverfahren sicher, in kurzer Zeit gute Lösungen zu berechnen. Das Konzept ermöglicht somit eine Entscheidungsunterstützung in der operativen Produktionsplanung.Der Autor:Dr. Jonas Ostmeyer promovierte am Lehrstuhl für Betriebswirtschaftslehre, inbes. Quantitative Methoden und Wirtschaftsmathematik an der FernUniversität in Hagen und arbeitet heute in einem Unternehmen.Table of ContentsFlexibilität im Supply Chain Management, ausgewählte Losgrößen- und Reihenfolgeprobleme.- MLCLSD-basierte Losgrößen- und Reihenfolgeplanung mit Zeitfensterrestriktionen: Modellvarianten mit Lieferzeitfenstern und Produktionszeitfenstern.- Heuristische Lösungsansätze mittels Ressourcen-basierter Dekomposition.- Beispielhafte Analysen zu den Ansätzen.

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Book SynopsisDie wachsende Bedeutung von Nachhaltigkeit in Verbindung mit der hohen Ressourcenintensität der Logistik machen nachhaltige Dienstleistungsinnovationen in der Logistik erforderlich. Cornelius Moll präsentiert eine Methodik zur Entwicklung problemadäquater Entscheidungsmodelle, die den Besonderheiten des Untersuchungsgegenstands Rechnung trägt. Die Methodik kombiniert auf innovative Weise systemdynamische Simulation und multikriterielle Bewertung mit weiteren Methoden und ermöglicht so die fundierte Bewertung unterschiedlicher Strategien unter potenziellen Umweltszenarien. Gleichzeitig zeigt sie damit Handlungsoptionen für das Management auf. Eine Anwendung der Methodik am Praxisbeispiel von Nachtbelieferungen mit batterieelektrisch angetriebenen Lkw deckt auf, dass deren Implementierung bereits heute von Vorteil sein kann. Table of ContentsKonzeptionelles Verständnis nachhaltiger Dienstleistungsinnovationen in der Logistik.- Erstellung einer Methodik zur Entwicklung von Entscheidungsmodellen.- Anwendung der Methodik am Praxisbeispiel von Nachtbelieferung mit elektrisch angetriebenen Lkw.- Implikationen für Forschung und Praxis.

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Book SynopsisDieses Lehrbuch vermittelt Methoden der Datenanalytik zur Abbildung der Technischen Zuverlässigkeit und Risikoprognose unter Zuhilfenahme der Probabilistik, Statistik sowie der Modellbildung. Eingesetzt werden die Methoden der Technischen Zuverlässigkeit in den elementaren Phasen des Produktentstehungsprozesses (Konzept- und Serienentwicklung, Produktion) sowie während des Feldeinsatzes technischer Produkte. Dieses Buch umfasst ausführlich Grundlagen der Statistik, graphische Visualisierung und Berechnungsverfahren. Zahlreiche Fallbeispiele werden durchgerechnet und repräsentieren typische Aufgabenstellungen des Ingenieurs bei der Zuverlässigkeitsanalyse in Entwicklung/Produktion sowie der Beurteilung von Feldschäden. Die Zielgruppen sind somit gleichermaßen Studenten der Ingenieurwissenschaften sowie Ingenieure, welche sich mit der Technischen Zuverlässigkeit im Rahmen der Entwicklung und Herstellung komplexer technischer Produkte sowie im Rahmen der Felddatenanalyse auseinandersetzen. Die Darlegung der Methoden und Verfahren der Technischen Zuverlässigkeit folgt dem Leitmotiv „Theoriegeleitet – Praxisorientiert“, sodass das vorliegende Buch sowohl als Nachschlagewerk als auch als Lehrbuch Verwendung finden kann.Table of ContentsTechnische Zuverlässigkeit und Produktentstehungsprozess.- Elementare Begriffe.- Beschreibende Statistik: Darstellungsformen.- Wahrscheinlichkeit und Zufallsexperimente.- Datenerhebung und erste Analyse.- Verteilungsmodelle und Funktionen.- Verteilungsmodelle: Parameterschätzung.- Konfidenzintervalle.- Korrelation und Regression.- Systemanalyse: Funktion, Fault Tree sowie Failure Mode and Effects.- Analyse des Ausfallverhaltens von Bauteilen, Baugruppen, Systemen.- Signifikanztests.- Prototype Testing und Accelerated Testing.- Prüfprozesseignung.- Statistical Process Control (SPC).

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Book SynopsisThis INSAG report defines in detail the independence needed in the regulatory decision making process and how to meet the potential challenges to that independence. Thus, the report identifies a number of measures that need to be implemented at different levels to promote and protect independence in the regulatory decision making process. The basic principles have to be embedded into the legal framework and followed up by systematic quality management of regulatory processes and activities.

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Book SynopsisThis guide is designed for systems researchers – emerging and seasoned – searching for holistic approaches of inquiry into complexity, which the Systems Sciences provide. The authors share insight into the foundations of research that are not only systematic in terms of rigor, but systemic in perspective, analysis, design, development, implementation, reporting, and evaluation. This guide also explores researcher competencies necessary to conduct sound systems research. Researchers using this guide will gain understanding of what distinguishes systems research from other types of research and why it is important in research today.Trade Review Table of Contents

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Book SynopsisThis book includes selected papers presented at the Indo-French Seminar on Optimization, Variational Analysis and Applications (IFSOVAA-2020), held at the Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, India, from 2–4 February 2020. The book discusses current optimization problems and their solutions by using the powerful tool of variational analysis. Topics covered in this volume include set optimization, multiobjective optimization, mathematical programs with complementary, equilibrium, vanishing and switching constraints, copositive optimization, interval-valued optimization, sequential quadratic programming, bound-constrained optimization, variational inequalities, and more. Several applications in different branches of applied mathematics, engineering, economics, finance, and medical sciences have been included. Each chapter not only provides a detailed survey of the topic but also builds systematic theories and suitable algorithms to deduce the most recent findings in literature. This volume appeals to graduate students as well as researchers and practitioners in pure and applied mathematics and related fields that make use of variational analysis in solving optimization problems.Table of ContentsKhushboo and C. S. Lalitha, Linear and Pascoletti—Serafini Scalarizations in Unified Set Optimization.- N. K. Bisui, S. Mazumder and G. Panda, A Gradient Free Method for Multiobjective Optimization Problem.- J.-P. Dussault, T. Migot, M. Haddou, The New Butterfly Relaxation Method for Mathematical Programs with Complementarity Constraints.- S. K. Neogy and V. N. Mer, Copositive Optimization and its Applications in Graph Theory.- N Sharma, J. Bisht, and S. K. Mishra, Hermite-Hadamard type Inequalities for Functions whose Derivatives are Strongly-Convex via Fractional Integrals.- Q. H. Ansari, P. K. Sharma, Set Order Relations, Set Optimization and Ekeland’s Variational Principle.- A. K. Debnath and D. Ghosh, Characterizations and Generating Efficient Solutions to Interval Optimization Problems.- R. Sadhu, C. Nahak, S. P. Dash, Unconstrained Reformulation of Sequential Quadratic Programming and its Application in Convex Optimization.- P. Maréchal, A Note on Quadratic Penalties for Linear Ill-posed Problems: from Tikhonov Regularization to Mollification.- W. C. Simo Tao Lee.- A New Regularization Method for Linear Exponentially Ill-posed Problems.- V. Laha, H. N. Singh and S. K. Mishra, R. Kumar, On Minimax Programming with Vanishing Constraints.- B. B. Upadhyay and P. Mishra, On Minty Variational Principle for Nonsmooth Interval-Valued Multiobjective Programming Problems.- Y. Pandey, V. Singh, On Constraint Qualifications for Multiobjective Optimization Problems with Switching Constraints.- V. Kapoor and D. Nandan, Optimization of Physico-Chemical Parameters for the Production of Endoxylanase using Combined Response Surface Method and Genetic Algorithm.- A. Kaul, A. Gupta, S. Aggarwal, P. C. Jha, R. Ramanathan, Optimal Duration of Integrated Segment Specific and Mass Promotion Activities for Durable Technology Products: A Differential Evolution Approach.- M. Kumar, A Secure RGB Image Encryption Algorithm in Optimized Virtual Planet Domain.- J. D. Darbari, S. Sharma, M. C. Barrueta Pinto, Identification and Analysis of Key Sustainable Criteria for Third Party Reverse Logistics Provider Selection using the Best-Worst Method.- A. Gupta, N. Pachar, M. C. Barrueta Pinto, Efficiency Assessment through Peer Evaluation and Benchmarking: A Case Study of a Retail Chain using DEA.- R. K. Misra, D. Singh and A. Kumar, Spherical Search Algorithm: A Metaheuristic for Bound-Constrained Optimization.

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Book SynopsisThis edited volume is an in-depth collation of the usage of different quantitative decision making techniques in practical areas such as lean & green supply chain, reverse logistics, perishable logistics, closed loop supply chain, sustainable project management, retail management, block chain applications, optimal supplier selection problem, demand/supply modelling, forecasting under uncertainties, scheduling & sequencing, resource constraint logistics, dynamic network supply chain, risk evaluation, and so on. Additionally, the book also solves these issues in theoretical and practical context using innovative mathematical tools. Consisting of selected papers from the 23rd Annual International Conference of the Society of Operations Management, this book's highlight is not only the coverage of interesting topics, but also how these topics are dealt with, such that post-graduate students as well as researchers and industry personnel working in areas like engineering, economics, social sciences, management, mathematics, etc., can derive the maximum benefit by reading or referring to this book. Apart from the emphasis on new mathematical, operations research, operations management, and statistical techniques, the authors also ensure that all the concepts are made clear by highlighting their practical significance in different areas of applications of operations management. By using novel presentation methods, the book offers a good practical flavor of all the different topics relevant to operations management in the coming decades. Table of ContentsModeling Reverse Logistics Network for Post-Sale Service Under International Ecosystem.- Sustainable Parallel Machine Scheduling: Trade-Off Between Tardiness And Energy Consumption.- Modeling A Coordinated Supply Chain Under Service Level Constraint With Price-Sensitive Stochastic Demand And Discrete Transportation Lead Time.- A Course Timetabling Problem.- Vehicle Routing Problem For Organized Health Care Waste Collection And Optimization: A Case Study Of Varanasi.- Modelling The Route Design In Animal Husbandry Supply Chain.- The PRV Problem – Solution And Extensions.- Nurse Staffing And Scheduling Optimization Solution For A Healthcare Service Industry.- Mathematical Modelling And Simulation Of Sawmill Operations With A View To Improve Occupational Health And Productivity.- Duopoly Airline Network Design Decisions: A Case Of Co-Opetition.- Robust Multi-Objective Solution Approach For Multiple Quality Characteristic Optimization Problems.- Production Planning And Control Of A Hybrid MTS/MTO Production Network Model Using Asymmetric Loss Function.- Joint Optimization Of Airline Pricing And Seat Allocation Under Choice-Based Demand.- Manpower Planning In A Hyper-Local Food Delivery Organization: A Case Study.- Optimizing Multimodal Transportation Problem For Efficient Parcel Movement In Courier Industry.- Optimization Of Quality Of Life Index With alpha-Level Of Significance Of Linear Constraints.- Reducing Patient Waiting Time In A Primary Health Network Using Location-Allocation Model.- Quality And Pricing Decisions Of Web Based Applications.- Measuring Sustainability Efficiency Of Fast Moving Consumers Goods Companies Using DEA Model.- A Novel Two-Stage Network DEA Approach To Estimate Production Efficiency Of The Bus Transportation System.- A Data Envelopment Approach For Energy Efficient Habitats.- Deep Learning And Cross-Temporal Hierarchies Based Framework For Demand Forecasting.- Application Of Deep Learning For Throughput Forecasting In Container Supply Chain.- A Machine Learning Model For Forecasting Domestic Lpg Demand.- A Model To Identify Predictors Of Demand For Regional Air-Transport.- How Many People In Your Party? – An Experimental Research To Predict Consumer Demand In Restaurants.- Prioritization And Evaluation Of Barriers To Implement CSCM Using Fuzzy-AHP.- Analysis Of Issues Of ELV Management In India: A Fuzzy Analytical Hierarchy Process Approach.- A Game Theoretic Analysis Of Carbon Emission And Congestion Cost In The Presence Of Competition Between Airlines.- Pricing Decision Of A Two-Sided Platform With Heterogeneous Sellers.- A Clarke And Wright Based Heuristic Approach For Implementing Recall Of Utility Products.- A Heuristic Approach To Fixed Budget Tourist Trip Design Problem.- A Lagrangian Approach For Solving The Team Orienteering Problem With Non-Identical Agents.- Material Flow Optimisation Of A Capacitated Vehicle Routing Problem In A Manufacturing Plant By Using Real Coded Genetic Algorithm.- A Modified Ant Algorithm Integrates Real-Life Road Constraints In Vehicle Routing Under Uncertain Environments: A Case Study Of E-Commerce Courier Companies In India.- A Long Horizon Stochastic Inventory Routing Problem For Liquid Nitrogen Delivery.- An Optimization Model For A Dairy Co-Operative For Sustainable Operations For Milk Collection.- The Shapley Value Based Compliance Table For Ambulance Repositioning.- Waiting Time Reduction In A Hospital Outpatient Clinic Using Flexsim Simulation.- Agent Based Simulation Of RFID Potential In Aircraft Reverse Logistics.- Sustainable Mobility Project Selection Using A Fuzzy Axiomatic Design Based Approach.- An Internal Credit Scoring Model For SMEs Using BWM And TOPSIS.- The Value Of Time Of Use (ToU) Pricing In A Grid With Significant Renewable Energy Supply: Does It Co-Ordinate?.

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Book SynopsisThis book aims to provide a practical guide by a set of real world applications of grey systems to social networks, energy management, transportation, natural disaster management, etc. As an emerging subject on data analysis and uncertainty modelling, the theory of grey systems and its applications have seen significant progress in recent years. However, researchers are still challenged with difficulties in differentiating grey systems from other similar models and a concise and practical guide for their real world applications. This is especially true for researchers in Europe and North American. This book may provide the answer for that. This book is a result of work within the Leverhulme Trust International Research Network on Grey Systems and its Applications. Readers may regard the book as valuable reference in the related fields.Table of ContentsChapter 1. Development of Grey System Research – Sifeng Liu. Chapter 2. Basic models in grey systems theory – Naiming Xie, Baolei Wei. Chapter 3. Grey systems and uncertainty modelling – Yingjie Yang, A.S. Khuman, S. Liu. Chapter 4. Agent-based modelling in grey economic systems – Camelia Delcia, Yingjie Yang, Sifeng Liu, Liviu-Adrian Coftas. Chapter 5. Selection of the company’s strategy using Grey Stratified Decisions Model – Rafał Mierzwiak. Chapter 6. A Cost Level Analysis for the Components of the Smartphones Using Greyness Based Quality Function Deployment – Erdal Aydemir, Yusuf Sahin, Kenan Karagul Chapter 7. Forecasting and optimization of short-term traffic flow dynamics modelling, based on grey system theory – Xinping Xiao, Huan Guo, Jinwei Yang. Chapter 8. Yellow river ice disaster risk management based on grey prediction and decision method – Dang Luo Chapter 9. Millennial generation: enthusiastic vs. stressed consumers. How different is their behavior and their opinion on companies’ image in online social networks? - Camelia Delcia Liviu-Adrian Coftas Chapter 10. Grey models and its application in the energy-economic system – Chaoqing Yuan.

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Book SynopsisEffective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals.The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.Table of ContentsChapter 1: Optimization of an inventory model with demand dependent on selling price and stock, nonlinear holding cost along with trade credit policy.- Chapter 2: Software Defect Prediction Through a Hybrid Approach Comprising of a Statistical Tool and a Machine Learning Model.- Chapter 3: Conservation of a prey species through optimal taxation: a model with Beddington-DeAngelis Functional Response.- Chapter 4: Investigate the reason for students' absenteeism in Engineering College in Fuzzy MCDM environment.- Chapter 5: Optimal inventory management policies for substitutable products considering non-instantaneous decay and cost of substitution.

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Book SynopsisWhat is the way that societies improve and solve problems? What is the purpose of business in society? Is there a role for markets and business in issues of civic good, justice, equality, education, environment, health or collective action? Current economic principles, which underpin our trust in markets are not value neutral. Therefore, how we design "market solutions" to problems should be the focus of vigorous and open debate. Multi-sector Partnership is a concept that has re-focused us on the meaning of the goods and social practices we value as citizens in a global society. Multi-sector partners emerge in society to offer innovative approaches to dealing with pressing, yet complex, social, economic and weather-related 21st century challenges.Multi-sector partnerships, loosely defined as activities with an embedded social purpose, is about using skills from a range of sectors to craft innovative responses to address social problems. It aims at social impact but does not exclude economic wealth creation. Thus, it is not limited to the non-profit or social sectors but seeks to mobilize and align interests of diverse stakeholders in the social, public and private sectors by creating non-financial incentives for collective action. Multi-sector partnerships involve recognizing that social problems are potential opportunities for collaboration, building on existing social networks, harnessing market forces that combine and mobilize resources, inciting positive change in various domains, and designing solutions for sustainable development.The purpose of this edited volume is to provide academic and practitioners with the essential conceptual frameworks and tools for creating successful Multi-sector ventures, initiatives, programs or partnerships that seek to tackle global social issues and collective action problems.

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