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This book offers an introduction to structural dynamics, ripple effect and resilience in supply chain disruption risk management for larger audiences. In the management section, without relying heavily on mathematical derivations, the book offers state-of-the-art concepts and methods to tackle supply chain disruption risks and designing resilient supply chains in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering background. In the technical section, the book constitutes structural dynamics control methods for supply chain management. Real-life problems are modelled and solved with the help of mathematical programming, discrete-event simulation, optimal control theory, and fuzzy logic. The book derives practical recommendations for management decision-making with disruption risk in the following areas: How to estimate the impact of possible disruptions on performance in the pro-active stage? How to generate efficient and effective stabilization and recovery policies? When does one failure trigger an adjacent set of failures? Which supply chain structures are particular sensitive to ripple effect? How to measure the disruption risks in the supply chain?

Business. --- Business logistics. --- Industrial engineering. --- Production engineering. --- Business and Management. --- Operations Research/Decision Theory. --- Supply Chain Management. --- Industrial and Production Engineering. --- Risk management --- Decision making. --- Insurance --- Management --- Operations research. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Supply chain management --- Industrial management --- Logistics --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Manufacturing engineering --- Process engineering --- Mechanical engineering --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making

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This book offers an introduction to structural dynamics, ripple effect and resilience in supply chain disruption risk management for larger audiences. In the management section, without relying heavily on mathematical derivations, the book offers state-of-the-art concepts and methods to tackle supply chain disruption risks and designing resilient supply chains in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering background. In the technical section, the book constitutes structural dynamics control methods for supply chain management. Real-life problems are modelled and solved with the help of mathematical programming, discrete-event simulation, optimal control theory, and fuzzy logic. The book derives practical recommendations for management decision-making with disruption risk in the following areas: How to estimate the impact of possible disruptions on performance in the pro-active stage? How to generate efficient and effective stabilization and recovery policies? When does one failure trigger an adjacent set of failures? Which supply chain structures are particular sensitive to ripple effect? How to measure the disruption risks in the supply chain?

Methodology of economics --- Operational research. Game theory --- Mathematical statistics --- Engineering sciences. Technology --- Planning (firm) --- Physical distribution --- Business management --- Business economics --- intern transport --- financieel management --- SCM (supply chain management) --- mathematische modellen --- speltheorie --- econometrie --- operationeel onderzoek --- ingenieurswetenschappen

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Sustainable development. --- Business logistics.

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The book offers a concise yet comprehensive introduction to supply chain analytics covering management, modeling, and technology perspectives. Designed to accompany the textbook “Global Supply Chain and Operations Management”, it addresses the topics of supply chain analytics in more depth. The book describes descriptive, predictive, and prescriptive supply chain analytics explaining methodologies, illustrating method applications with the use of training exercises, and providing numerous examples in AnyLogic and anyLogistix software. Throughout the book, numerous practical examples and short case studies are given to illustrate theoretical concepts. Along with AnyLogic and anyLogistix model development guidelines and examples, the book has two other distinct features. First, it reviews and explains novel frameworks and concepts related to data-driven decision-making and digital twins. Second, it shows how to use analytics to improve supply chain resilience. Without relying heavily on mathematical derivations, the book offers a structured presentation and explanation of major supply chain analytics techniques and principles in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering backgrounds. Graduate/Ph.D. students and supply chain professionals alike would benefit from a structured and didactically-oriented concise presentation of the concepts, principles, and methods of supply chain analytics. Providing graduate students and supply chain managers with working knowledge of basic and advanced supply chain analytics, this book contributes to improving knowledge-awareness of decision-making in increasingly data-driven and digital environments. The book is supplemented by a companion website offering interactive exercises with the use of AnyLogic and anyLogistix software as well as Spreadsheet Modeling.

Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Physical distribution --- Production management --- Business management --- Computer. Automation --- intern transport --- SCM (supply chain management) --- management --- mathematische modellen --- productie --- econometrie --- logistiek --- operationeel onderzoek --- Business logistics. --- Quantitative research. --- Production management. --- Operations research. --- Supply Chain Management. --- Data Analysis and Big Data. --- Logistics. --- Production. --- Operations Management. --- Operations Research and Decision Theory.

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The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations.

Business. --- Business intelligence. --- Business logistics. --- Business logistics --- Management --- Mechanical Engineering --- Chemical & Materials Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Technology - General --- Materials Science --- Management Styles & Communication --- Business & Economics --- Information technology. --- Supply chain management --- IT (Information technology) --- Engineering. --- Production management. --- Industrial engineering. --- Production engineering. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Industrial and Production Engineering. --- Operations Management. --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Industrial management --- Logistics