Modeling and Resilience Recovery for Disrupted Supply Chain

This book focuses on supply chain management, specifically resilience modeling and recovery strategies for disruptions. It combines multi-level analysis (system, product, event, network) with practical tools such as knowledge graphs, optimization techniques, and risk management frameworks. Key features include a structured, visual approach to complex concepts and multiple recovery dimensions (short-term fixes, product redesign, hierarchical optimization, control support). Blending theory with real-world applications, it provides readers with actionable insights to anticipate risk, optimize operations, and effectively implement recovery plans. Ideal for professionals and students, the book bridges academic research and industry needs, empowering teams to build adaptive, disruption-resistant supply chains in uncertain environments.

List of contents

Introduction.- A knowledge graph driven risk management framework.- Product change modeling with multi objective optimization.- Petri net based modeling on operational and structural dynamics.- Decision modeling with risk cascading propagation effects.- A prediction based recovery strategy under demand dynamics.- Recovery strategy incorporated into product changes and lifecycles.- Recovery through decomposition based optimization.- Coevolution recovery assisted by cost guaranteed control under uncertainties.

Product details

• Authors: Chen Peng, Hongfeng Wang, Yi Yang, Yi et al Yang, Yong Zhang
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 28.01.2026
• EAN: 9789819549009
• ISBN: 978-981-9549-00-9
• No. of pages: 214
• Illustrations: XIV, 214 p. 66 illus., 64 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > Technology > Miscellaneous; Optimierung, Management und Managementtechniken, Regelungstechnik, Optimization, Supply Chain Collaboration, Control and Systems Theory, Industrial Management, Product lifecycle, Product Design Change, Disruption Recovery Strategy, Resilient Control