Structural Dynamics and Resilience in Supply Chain Risk Management

Considers ripple effect and resilient supply chain design, planning, and control

Offers an introduction to structural dynamics and disruption risk management in the supply chains for the larger audience without relying heavily on mathematical derivations

Integrates management and engineering perspectives on risk management in the supply chain from positions of structural dynamics control

Autorentext

Prof. Dr. habil. Dr. Dmitry Ivanov is professor of Supply Chain Management at Berlin School of Economics and Law (BSEL). He has been teaching classes for more than 15 years in operations management, production and supply management, supply chain management, logistics, management information systems, and strategic management at undergraduate, master's, PhD, and executive MBA levels at different universities worldwide in English, German, and Russian. He studied industrial engineering and production management in St. Petersburg and Chemnitz and graduated with distinction. He gained Dr.rer.pol., Doctor of Science (ScD), and Dr.habil. degrees. He was awarded the German Chancellor Scholarship. His research explores supply chain structural dynamics and control, with an emphasis on global supply chain design with disruption consideration, distribution planning, and dynamic re-scheduling. He is the co-author of more than 270 publications. He is Chairman of IFAC TC 5.2 Manufacturing Modelling for Management and Control.

Inhalt

Supply Chain Management and Structural Dynamics Control.- Supply Chain Risk Management: Bullwhip Effect and Ripple Effect.- Supply Chain Resilience: Modelling, Management, and Control.- Principles and methods of model-based decision-making in the supply chain.- OR/MS Methods for Structural Dynamics in Supply Chain Risk Management.- Hybrid multi-objective mathematical optimization optimal control model for proactive supply chain recovery planning.- Control-Theoretic Models and Algorithms for Supply Chain Scheduling with Capacity Disruption and Recovery Considerations.- Simulation applications to structural dynamics in service and manufacturing supply chain risk management.- Entropy-based supply chain structural complexity analysis.- New drivers for supply chain structural dynamics and resilience: sustainability, Industry 4.0, self-adaptation.