Structural Dynamics and Resilience in Supply Chain Risk Management

• Κύριος συγγραφέας: Ivanov, Dmitry (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: International Series in Operations Research & Management Science, 265
• Θέματα: Operations research.; Decision making.; Business logistics.; Industrial engineering.; Production engineering.; Operations Research/Decision Theory.; Supply Chain Management.; Industrial and Production Engineering.

 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? 

 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.