This book offers an introduction to the ripple effect in the supply chain for a broad audience comprising recent developments. The chapters of this handbook are written by leading experts in supply chain risk management and resilience. For the first time, the chapters present in their synergy a multiple-faceted view of the ripple effect in supply chains, while considering organization, optimization, and informatics perspectives. Ripple effect describes the impact of a disruption propagation on supply chain performance, structural designs and operational parameters. The ripple effect manifests when the impact of a disruption cannot be localized and cascades along the supply chain. The resulting structural dynamics can lead to capacity and demand fulfilment downscaling and negatively influence the firm's financial and operational performance. The book delineates major features of the ripple effect and methodologies to mitigate the adverse impact of supply chain disruption propagation and to recover in case of severe disruptions. The book provides fresh insights for supply chain management and engineering regarding the following questions: - In what circumstance does one failure cause other failures? - Which structures of the supply chain are especially susceptible to the ripple effect? - What are the typical ripple effect scenarios and what are the most efficient ways to respond them? Distinctive Features:. It considers ripple effect in the supply chain from an multi-disciplinary perspective. It offers an introduction to ripple effect mitigation and recovery policies in the framework of disruption risk management in supply chains for a broad audience. It integrates management and engineering perspectives on disruption risk management in the supply chain. It presents innovative optimization and simulation models for real-life management problems. It considers examples from both industrial and service supply chains. It reveals decision-making recommendations for tackling disruption risks in the supply chain in proactive and reactive domains.

Autorentext
Dmitry Ivanov is professor of Supply Chain Management at Berlin School of Economics and Law (HWR Berlin), deputy director and executive board member of Institute for Logistics, and director of master program in Global Supply Chain and Operations Management at HWR Berlin since 2011. He is leading working groups, tracks and sessions on Supply Chain Risk Management and Resilience in global research communities. He is a recipient of several prestigious Best Paper awards. He edits the International Journal of Integrated Supply Management, serves on Editorial Boards and is an Associate/Guest Editor in many international journals. His publication record counts more than 300 works, including around 60 research papers in international journals and leading books Global Supply Chain and Operations Management and Structural Dynamics and Resilience in Supply Chain Risk Management. His research is about supply chain risks and resilience, digital supply chain twins, and scheduling in cloud manufacturing and Industry 4.0.
Alexandre Dolgui is the Distinguished Professor and Head of the Department of Automation, Production and Computer Sciences at IMT Atlantique in Nantes, France. He earned his M.Sc./Engineer in Automated Systems of Data Processing and Management (Valedictorian) at the Minsk Radioengineering Institute, Belarus, his Ph.D. in Engineering Cybernetics and Computer Aided Production Management at the Academy of Sciences of Belarus, Institute of Engineering Cybernetics, Minsk, Belarus and his Dr. Habil. in University of Technology of Compiègne, France. He is a Fellow of the European Academy for Industrial Management, Member of the Board of the International Foundation for Production Research and the Editor-in-Chief of the International Journal of Production Research (T&F). His more recent research projects include Optimization of the Global Supply Chain in Automotive Industry (for Renault Group), Warehouse Design, Localization and Optimization (for Casino Group), and Design, Balancing and Optimization of Disassembly Workshops for CEA (French Commissariat for Atomic Energy). He is also a co-author of a Springer title on Supply Chain Engineering.
Boris Sokolov is the Head of the Laboratory for Information Technologies in Systems Analysis and Modeling at the St. Petersburg Institute of Informatics and Automation of the RAS (SPIIRAS) in St. Petersburg, Russia. From 2006 to 2017 he was Deputy Director for research of SPIIRAS. In 2008, he became an honored scientist in Russia. He is a Laureate of the Prize of the Government of the Russian Federation in the field of science and technology (2013). He is (co)-author of 7 monographs and books on system analysis, decision support systems, supply chain management, and systems and control theory, and of more than 570 scientific works published in various academic journals. His research interests are as follows: basic and applied research in integrated modelling, simulation, and mathematical methods in scientific research, optimal control theory, and mathematical models and methods of decision-making support in complex technical-organizational systems under uncertainties and with multi-criteria, and mobile IT in supply chain management processes. Over the past years, Professor Sokolov intensively developed an original applied theory of structural dynamics control.

Inhalt

Chapter 1. Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives.- Chapter 2. A Multi-Portfolio Approach to Integrated Risk-Averse Planning in Supply Chains under Disruption Risks.- Chapter 3. The rippling effect of nonlinearities.- Chapter 4. Systemic Risk and the Ripple Effect in the Supply Chain.- Chapter 5. Leadership for Mitigating Ripple Effects in Supply Chain Disruptions: A Paradoxical Role.- Chapter 6. A model of an integrated analytics decision support system for situational proactive con-trol of recovery processes in service-modularized supply chain.- Chapter 7. Bullwhip Effect of Multiple Products with Interdependent Product Demands.- Chapter 8. Performance impact analysis of disruption propagations in the supply chain.- Chapter 9. Ripple Effect Analysis of Two Stage Supply Chain using Probabilistic Graphical Model.- Chapter 10. Entropy-based analysis and quantification of supply chain recoverability.- Chapter 11. New Measures of Vulnerability within Supply Networks: A Comparison of Industries.- Chapter 12. Disruption tails and revival policies in the supply chain.- Chapter 13. Managing disruptions and the ripple effect in digital supply chains: empirical case studies.- Chapter 14. Resilience and Agility: The Crucial Properties of Humanitarian Supply Chain.- Chapter 15. Digital supply chain twins: Managing the Ripple effect, resilience and disruption risks by data-driven optimization, simulation, and visibility.