This book offers a concise yet comprehensive introduction to supply chain resilience, covering management, modeling and technology perspectives. Designed to accompany the textbook Global Supply Chain and Operations Management it addresses the topics of supply chain resilience and viability in more depth, describing the major principles and explaining methodologies to mitigate supply chain disruptions and recover. Numerous practical examples and short case studies are provided to illustrate theoretical concepts. Without relying heavily on mathematical derivations, the book explains major concepts and methods to build and improve supply chain resilience and tackle supply chain disruptions in a simple, uniform format to make it easy to understand for students and professionals with both management and engineering backgrounds.

In the second edition, existing chapters and their associated references have been updated to incorporate more recent industry examples and publications. Additionally, new topics have been introduced, including supply chain stress testing, resilience assessment, the adaptation-based view of resilience, critical node identification, and immune system-based resilience modeling.

Graduate/PhD students and supply chain professionals alike will benefit from the structured, didactically oriented and concise presentation of the concepts, principles and methods of supply chain resilience management, modeling, and technological implementation.

Presents novel frameworks and concepts as well as methods to build and improve supply chain resilience Outlines key features and methods to mitigate supply chain disruptions and strengthen resilience Provides numerous practical examples and short case studies

Autorentext

Dr. Dmitry Ivanov is a Professor of Supply Chain and Operations Management at Berlin School of Economics and Law (HWR Berlin), Germany. He serves as an Academic Director of MA Global Supply Chain and Operations Management and leads the Digital-AI Supply Chain Lab. He has taught operations management, supply chain management and logistics for more than 25 years at undergraduate, graduate, PhD, and executive MBA levels at various universities worldwide. His publication record includes over 150 research papers in prestigious international academic journals and several books published with Springer. His main research interests span supply chain resilience, the ripple effect management in supply chains, and digital supply chain twins. He is actively involved in editorial work for leading international journals, third-party financed and industrial research projects, and organization of large-scale scientific conferences. William P. Millhiser is an Associate Professor of Operations Management at Zicklin School of Business, Baruch College, City University of New York, USA. He teaches Operations and Decision Analytics MBA and BBA programs, and is the recipient of the Baruch College President's Award for Distinguished Teaching and the Zicklin School of Business's Teaching Excellence Award. His research interests encompass stochastic modeling and simulation, with a particular focus on optimizing queueing systems, including appointment scheduling systems. Phu Nguyen is a Research Associate at Berlin School of Economics and Law (HWR Berlin), Germany. He has significant experience in Supply Chain and Operations Management within renowned manufacturing organizations such as Intel and Decathlon. His research is dedicated to the advancement of supply chain resilience and viability using simulation and machine learning methodologies.

Inhalt

1. Supply Chain Risks, Disruptions, and Ripple Effect.- 2. Managing Supply Chain Resilience.- 3. Modeling Supply Chain Resilience.- 4. Measuring Supply Chain Resilience.- 5. Supply Chain Viability.