TY - BOOK AU - Ivanov, Dmitry [Editor] AU - Dolgui, Alexandre [Editor] AU - Sokolov, Boris [Editor] TI - Handbook of ripple effects in the supply chain T2 - International Series in Operations Research & Management Science (ISOR, volume 276) SN - 9783031855078 U1 - 658.7 PY - 2025/// CY - Cham PB - Springer KW - Supply chain management N1 - Table of contents: Front Matter Pages i-xxiv Download chapter PDF Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov Pages 1-34 A Multi-Portfolio Approach to Integrated Risk-Averse Planning in Supply Chains Under Disruption Risks Tadeusz Sawik Pages 35-64 The Rippling Effect of Supply Chains As Complex Adaptive Non-linear Systems Virginia L. M. Spiegler, Mohamed M. Naim, Junyi Lin Pages 65-86 Bullwhip Effect of Multiple Products with Interdependent Product Demands Srinivasan Raghunathan, Christopher S. Tang, Xiaohang Yue Pages 87-103 Demand Shocks in Supply Networks: Ripple Effects Nikolay Osadchiy Pages 105-118 Performance Impact Analysis of Disruption Propagations in the Supply Chain Dmitry Ivanov, Alexander Pavlov, Boris Sokolov Pages 119-138 AI-Powered Supply Chain and Operations Management (SCOM): Capabilities and Challenges Yuhong Li, Kedong Chen, Jiawei Zhang Pages 139-165 Supply Chain Plasticity: Reshaping the Future of Risk Management Ellie C. Falcone, Laharish Guntuka, Steven Carnovale Pages 167-178 A Model of an Integrated Analytics Decision Support System for Situational Proactive Control of Recovery Processes in Service-Modularized Supply Chain Dmitry Ivanov, Boris Sokolov, Valerii Zakharov Pages 179-196 Entropy-Based Analysis and Quantification of Supply Chain Recoverability Dmitry Ivanov Pages 197-213 Disruption Tails and Revival Policies in the Supply Chain Dmitry Ivanov, Maxim Rozhkov Pages 215-247 Epidemiological Models to Predict Infection Epidemic: A Literature Review Fatemeh Mirsaeedi, Mohammad Sheikhalishahi, Mehrdad Mohammadi, Dmitry Ivanov Pages 249-330 Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies Ajay Das, Simone Gottlieb, Dmitry Ivanov Pages 331-354 Contingent Sourcing Ripples Considering Hoarding Behaviour Under Supply Disruptions in a Three-Tier Supply Chain Shanshan Li, Yong He Pages 355-378 Healthcare Supply Chain Agility and Resilience: A Relational View Perspective Rameshwar Dubey Pages 379-405 Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Dmitry Ivanov, Alexandre Dolgui, Ajay Das, Boris Sokolov Pages 407-432 [https://link.springer.com/book/10.1007/978-3-031-85508-5] N2 - This book highlights the major features of the ripple effect and introduces methodologies to mitigate its adverse impact on supply chain resilience and to recover from severe disruptions. It brings fresh insights into the fields of supply chain management and engineering, addressing three fundamental questions: “In what circumstance does one failure trigger others?” “Which supply chain structures are especially susceptible to the ripple effect?” “What are the typical ripple effect scenarios and the most efficient ways to respond to them?” In this new edition, recent advancements are incorporated, particularly in areas such as supply chain viability, digital supply chains, artificial intelligence, and epidemiological models. Furthermore, it introduces new methodologies with a particular emphasis on data-driven and AI-based approaches. This comprehensive book provides innovative optimization and simulation models to address real-world challenges. With examples from industrial and service sectors, it offers actionable decision-making recommendations for tackling disruption risks in the supply chain proactively and reactively. As such the book is a comprehensive source for diverse readerships (https://link.springer.com/book/10.1007/978-3-031-85508-5) ER -