This book presents advanced mathematical programming models for contemporary supply chain risk optimization problems. It focuses on cuttingedge issues such as supply chain viability under longterm disruption risks, including reshoring decisions; optimization of digital supply chain cybersecurity and physical resilience in cyberphysical supply chains; and supply chain fairness with respect to costservice tradeoffs, profit distribution, and the allocation of cybersecurity investments. It also introduces computationally efficient decisionmaking frameworks for emerging challenges in global supply chain management, including the reduction of cyber and physical risks and the enhancement of resilience and fairness. Each chapter ends with a table summarizing major managerial insights and the end-of-chapter problems to help the reader a self-check of material comprehension and to encourage for a further self-study.

The book is intended for practitioners, researchers, and master's and PhDlevel students in supply chain management, industrial engineering, operations research, applied mathematics, and related fields. Only an introductory background in operations research and supply chain management is assumed.

Develops optimization models for supply chain fairness to balance equally important, conflicting objectives Provides decision-making framework for enhancement of supply chain economic viability Presents joint optimization of cybersecurity and physical resilience in cyber-physical supply chains

Autorentext

Tadeusz Sawik has been a Professor of Industrial Engineering and Operations Research at AGH University of Kraków in Kraków, Poland, at Indian Institute of Management Mumbai in Mumbai, India, and at Reykjavik University in Reykjavik, Iceland. He has published numerous books, including Production Planning and Scheduling in Flexible Assembly Systems, Springer 1998, Scheduling in Supply Chains Using Mixed Integer Programming, Wiley 2011, Supply Chain Disruption Management, Springer 2018 & 2020, Stochastic Programming in Supply Chain Risk Management, Springer 2024, and more than 200 individual articles in refereed journals. His current research interests are in the areas of logistics and supply chain management, production and operations management, supply chain risk optimization, homeland and cyber security, planning and scheduling, stochastic and combinatorial optimization, and integer programming.

Inhalt

Introduction.- Part I: Supply Chain Viability.- Optimization Models for Supply Chain Viability.- Economic Viability of Supply Chain Reshoring.- Part II: Supply Chain Cybersecurity.- Optimization Models for Supply Chain Cybersecurity.- Cybersecurity under Direct and Propagated Cyberattacks.- Manufacturer Profit vs Cybersecurity Investment.- Part III: Supply Chain Fairness.- Optimization Models for Supply Chain Fairness.- Fair Distribution of Supply Chain Expected Profit.- Fair Distribution of Supply Chain Expected Profit with a Risk-Averse Manufacturer.- Fair Optimization of Cybersecurity Vulnerabilities.