Supply Chain Disruption Management Using Stochastic Mixed Integer Programming

• Main Author: Sawik, Tadeusz (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: International Series in Operations Research & Management Science, 256
• Subjects: Operations research.; Decision making.; Business logistics.; Industrial engineering.; Production engineering.; Operations Research/Decision Theory.; Supply Chain Management.; Industrial and Production Engineering.

This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-n...

Table of Contents:

• Chapter 1. Introduction
• Chapter 2. Selection of Static Supply Portfolio
• Chapter 3. Selection of Dynamic Supply Portfolio
• Chapter 4. Selection of Resilient Supply Portfolio
• Chapter 5. Integrated Selection of Supply Portfolio and Scheduling of Production
• Chapter 6. Integrated Selection of Supply Portfolio and Scheduling of Production and Distribution
• Chapter 7. A Fair Decision-Making under Disruption Risks
• Chapter 8. A Robust Decision-Making under Disruption Risks
• Chapter 9. Selection of Primary and Recovery Supply Portfolio and Scheduling
• Chapter 10. Selection of Primary and Recovery Supply and Demand Portfolios and Scheduling
• Chapter 11. Selection of Cybersecurity Safeguards Portfolio.