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.
Produkteigenschaften
- Artikelnummer: 9783032359636
- Medium: Buch
- ISBN: 978-3-032-35963-6
- Verlag: Springer
- Erscheinungstermin: 27.12.2026
- Sprache(n): Englisch
- Auflage: Erscheinungsjahr 2026
- Serie: International Series in Operations Research & Management Science
- Produktform: Gebunden
- Seiten: 300
- Format (B x H): 155 x 235 mm
- Ausgabetyp: Kein, Unbekannt
