This book 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.

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.

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.

Provides advanced insights into supply chain dynamics Offers mathematical models as solutions to real-life scenarios Includes supplementary material: sn.pub/extras

Autorentext

Dr Dmitry Ivanov has a PhD in Economics and Business Administration with a major in Supply Chain Management, Production Engineering, Operations Management, and is currently Chair of Production Management and Industrial Organization at the Chemnitz University of Technology. Dr Ivanov is also President of the German-Russain Logistics Society (DR-LOG) and a member of Russia's Presidium of National Supply Chain Council.

Prof. Dr.-Ing. Boris Sokolov works for the Saint Petersburg Institute of Informatics and Automation at the Russian Academy of Science.

Klappentext

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.

Inhalt
Evolution of Supply Chain Management (SCM).- Conceptual Frameworks for Supply Chain Management.- Decision-making Support for Supply Chain Management.- Challenges in Research on Modern and Future Supply Chains.- Uncertainty, Risk and Complexity.- Handling Uncertainty in Supply Chains.- STREAM: Stability-based Realization of Economic Performance and Management.- Quantitative Modelling of Supply Chains.- DIMA Decentralized Integrated Modelling Approach.- Structure Dynamics Control and Multi-model Analysis.- Adaptive Planning of Supply Chains.- Modelling Operations Dynamics, Planning and Scheduling.- Supply Chain Reconfiguration and Models' Adaptation.- Models of Supply Chain Global Stability and Manageability.- Experimental Environment.