Dmitry Ivanov

Structural Dynamics and Resilience in Supply Chain Risk Management

• Broschiertes Buch

Produktbeschreibung

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 inthe 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?

Produktdetails

• International Series in Operations Research & Management Science 265
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-88751-7
• Softcover reprint of the original 1st ed. 2018
• Seitenzahl: 344
• Erscheinungstermin: 4. September 2018
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 528g
• ISBN-13: 9783319887517
• ISBN-10: 3319887513
• Artikelnr.: 55130132

Autorenporträt

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".

Inhaltsangabe

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.

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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.