Stochastic Programming in Supply Chain Risk Management

Resilience, Viability, and Cybersecurity
2024
ISBN: 978-3-031-57926-4
Verlag: Springer Nature Switzerland

Buch, Englisch, 350 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 735 g

Reihe: International Series in Operations Research & Management Science

This book offers a novel multi-portfolio approach and stochastic programming formulations for modeling and solving contemporary supply chain risk management problems. The focus of the book is on supply chain resilience under propagated disruptions, supply chain viability under severe crises, and supply chain cybersecurity under direct and indirect cyber risks. The content is illustrated with numerous computational examples, some of which are modeled on real-world supply chains subject to severe multi-regional or global crises, such as pandemics. In the computational examples, the proposed stochastic programming models are solved using an advanced algebraic modeling language AMPL and GUROBI solver. 

 
The book seamlessly continues the journey begun in the author’s previously published book “Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming.” It equips readers with the knowledge, tools, and managerial insights needed to effectively model and address modern supply chain risk management challenges. As such, the book is designed for practitioners and researchers who are interested in supply chain risk management. Master’s and Ph.D. students in disciplines like supply chain management, operations research, industrial engineering, applied mathematics, and computer science will also find the book a valuable resource.

Zielgruppe

Research

Autoren/Hrsg.

Sawik, Tadeusz

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Wirtschaftswissenschaften Betriebswirtschaft Management Risikomanagement
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Introduction.- Supply Chain Resilience: Supply Portfolio.-  Supply Chain Resilience: Multi-Tier Supply  Portfolio.- Supply Chain Resilience under Ripple Effect.-  Supply Chain Viability: Risk-Neutral Decision-Making.- Supply Chain Viability: Risk-Averse Decision-Making.- Supply Chain Reshoring: Risk-Neutral vs Risk-Averse Decision-Making.- Supply Chain Cybersecurity: A Linear Optimization Model.- Supply Chain Cybersecurity: Direct and Indirect Cyber Risks.-  Supply Chain Cybersecurity: Security Controls with Maximum Cybersecurity Value.

Über Autor(innen)

Tadeusz Sawik is a Professor of Industrial Engineering and Operations Research at Reykjavik University in Reykjavik, Iceland and at AGH University of Kraków in Kraków, Poland. 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, and Supply Chain Disruption Management, Springer 2018 & 2020, and more than 150 individual articles in refereed journals. His current research interests are in the areas of logistics and supply chain management, operations management, supply chain risk management, homeland and cyber security, scheduling, stochastic and combinatorial optimization, and integer programming.