Beschreibung:
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-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc.
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.