Adaptive Supply Chain Management

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.

• Adaptive Planning, Scheduling and Control
• Continuous Optimization
• Dynamics Modelling
• Operations Research
• Scheduling
• Supply Chain Management
• Supply Chain Performance
• Supply Chains
• Uncertainty, Stability, and Risk
• quality control, reliability, safety and risk

• Department of Economics and Business Administration, Chemnitz University of Technology, Chemnitz, Germany

  Dmitry Ivanov

• Saint Petersburg Institute of Informatics and Automation of the Russian Academy of Science (SPIIRAS), St. Petersburg, Russian Federation

  Boris Sokolov

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.

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