This book presents advanced mathematical programming models for contemporary supply chain risk optimization problems. It focuses on cutting edge issues such as supply chain viability under long term disruption risks, including reshoring decisions; optimization of digital supply chain cybersecurity and physical resilience in cyber physical supply chains; and supply chain fairness with respect to cost-service trade offs, profit distribution, and the allocation of cybersecurity investments. It also introduces computationally efficient decision making 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 PhD level 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.
