Management decision making Books
Springer Nature Switzerland AG 6th EAI International Conference on Management of
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.
£125.99
Springer Nature Switzerland AG The Palgrave Handbook of Operations Research
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
£170.99
Springer International Publishing AG Handbook on Decision Making: Volume 3: Trends and
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.
£116.99
Springer International Publishing AG Innovative Decision-Making Techniques: A
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.
£42.74
Springer International Publishing AG Design of Heuristic Algorithms for Hard
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.
£42.74
Springer International Publishing AG Sustainability: Cases and Studies in Using
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.
£94.99
Springer International Publishing AG Advances in Best-Worst Method: Proceedings of the
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.
£151.99
Springer International Publishing AG Multicriteria Decision Aiding Interventions
Book SynopsisThis book introduces readers to multicriteria decision aiding (MCDA) interventions used in complex situations.
£52.24
Springer International Publishing AG Decision Support Systems XIII. Decision Support
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.
£47.49
Springer International Publishing AG Business Intelligence: 8th International
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.
£47.49
Springer International Publishing AG Multi-Criteria and Multi-Dimensional Analysis in
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.
£113.99
Springer International Publishing AG Fuzzy Decision Analysis: Multi Attribute Decision
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.
£132.99
Springer-Verlag GmbH Proceedings of the Sixth International Conference on Emerging Trends in Mathematical Sciences Computing IEMSC25
£161.99
De Gruyter Analytics and Intuition in the Process of Selecting Talent: A Holistic Approach
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.
£43.20
Springer International Publishing AG Metaheuristics for Business Analytics: A Decision Modeling Approach
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.
£56.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Project Management with Dynamic Scheduling:
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.
£149.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Handel mit Strom aus erneuerbaren Energien
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 ContentsÜberblick über den deutschen Strommarkt.- Gesetzliche Förderung erneuerbarer Energien.- Vermarktung von Strom aus erneuerbaren Energien.
£11.77
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Zeit-flexible Losgrößen- und Reihenfolgeplanung:
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.
£44.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Nachhaltige Dienstleistungsinnovationen in der
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.
£53.99
Springer Fachmedien Wiesbaden Technische Zuverlässigkeit: Datenanalytik,
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).
£37.99
IAEA Independence in Regulatory Decision Making
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.
£10.16
Springer Verlag, Singapore A Guide to Systems Research: Philosophy, Processes and Practice
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
£116.99
Springer Verlag, Singapore Optimization, Variational Analysis and
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.
£127.99
Springer Verlag, Singapore Studies in Quantitative Decision Making: Selected
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?.
£123.49
Springer Verlag, Singapore Emerging Studies and Applications of Grey Systems
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.
£113.99
Springer Verlag, Singapore Applications of Operational Research in Business
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.
£142.49
Information Age Publishing Multi-Sector Partnerships for the Public Good
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.
£48.45
Information Age Publishing Multi-Sector Partnerships for the Public Good
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.
£86.70
Urano World Encuentra Tu Oportunidad
Book Synopsis
£18.70
Urano Holacracia: El Nuevo Sistema Organizativo Para un
Book Synopsis
£15.80
Oxford University Press Organized Uncertainty
Book SynopsisSince the mid-1990s risk management has undergone a dramatic expansion in its reach and significance, being transformed from an aspect of management control to become a benchmark of good governance for banks, hospitals, schools, charities, and many other organizations. Numerous standards for risk management practice have been produced by a variety of transnational organizations. While these many designs and blueprints are accompanied by ideals of enterprise, value production, and good governance, it is argued that the rise of risk management has also coincided with an intensification of auditing and control processes. The legalization and bureacratization of organizational life has increased because risk management has created new demands for proof and evidence of action. In turn, these demands have generated new risks to reputation. In short, this important book traces the rise of the managerial concept of risk and the different logics and values which underpin it, showing that it hasTrade ReviewPower's book is illuminating and bringing in the foreground a highly relevant topic for today businesses and society. As a preliminary exploration of the ideas embodied by risk management understood as risk governance, the book is really worth reading even if we will be missing the flavor of field studies, because Power's aim was so broad and ideational. Anyway, this book may help debunk many ideas about risk and risk management, written by a talented management accountant and philosopher. * Laurent Magne, Society and Business Review *...getAbstract recommends this informed and informative analysis to risk management professionals and professors who will appreciate Powers depth of knowledge. * getAbsract *Table of Contents1. Organized Uncertainty: An Introduction ; 2. Turning Organizations Inside Out: The Rise of Internal Control ; 3. Standardizing Risk Management: Making Up Processes and People ; 4. Putting Categories to Work: The Invention of Operational Risk ; 5. Governing Reputation: The Outside Comes In ; 6. Making Risk Auditable: Legalization and Organization ; 7. Designing a World of Risk Management
£30.87
Taylor & Francis Ltd Agents Games and Evolution Strategies at Work and Play
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Taylor & Francis Ltd Mathematical Models for Decision Making with Multiple Perspectives
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Taylor & Francis Ltd Management Practice and Creative Destruction Existential Skills for Inquiring Managers Researchers and Educators
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Taylor & Francis Ltd Managing Information and Knowledge in the Public Sector
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Taylor & Francis Ltd Managing Information and Knowledge in the Public Sector
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£21.99
Taylor & Francis Analytics for Managers
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Taylor & Francis Ltd European Union Intergovernmental Conferences Domestic Preference Formation Transgovernmental Networks and the Dynamics of Compromise RoutledgeUACES Contemporary European Studies
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Taylor & Francis Strategic Analysis
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Taylor & Francis Ltd DecisionMaking in Environmental Health From Evidence to Action
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Taylor & Francis Ltd Stop IT Project Failures through Risk Management Computer Weekly Professional
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Taylor & Francis Ltd Capitalizing on Knowledge
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Taylor & Francis Knowledge and Strategy
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Taylor & Francis Ltd Knowlege Horizons The Present and the Promise of Knowledge Management
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Taylor & Francis Ltd The Knowledge Management Yearbook 20002001
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Taylor & Francis Leveraging Communities of Practice for Strategic Advantage
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Taylor & Francis Ltd Realizing the Promise of Corporate Portals Leveraging Knowledge for Business Success
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Taylor & Francis Ltd Perspectives on Intellectual Capital Multidisciplinary Insights Into Management Measurement and Reporting
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