Supply Chain Disruption Management Using Stochastic Mixed Integer Programming

Presents practical applications of stochastic mixed integer programming for solving supply chain disruption problems
Computational examples use commercially available software
End-of-chapter problems and examples in all chapters

Autorentext
Tadeusz Sawik is a Professor of Industrial Engineering and Operations Research at AGH University of Science and Technology in Kraków, Poland. He has been Associate Dean for Research at School of Management, Chair of the Department of Computer Integrated Manufacturing and Chair of the Department of Operations Research and Information Technology. He received the MS degree in mechanical engineering, the PhD degree in control engineering and the ScD (habilitation) degree in operations research, all from AGH University. He has been a visiting professor in Germany, Japan, Sweden and Switzerland and he has served as a research advisor of Motorola for several years. Five times he received Scientific Excellence Award from the Minister of Science and Higher Education, one of the most prestigious award in Poland. He has published numerous books (including Production Planning and Scheduling in Flexible Assembly Systems, Springer, 1998 and Scheduling in Supply Chains Using Mixed Integer Programming, Wiley, 2011), and more than 150 individual articles in refereed journals. His current research interests are in the area of supply chain optimization, risk management, scheduling and integer programming. In the 50th volume anniversary issue of International Journal of Production Research (IJPR), a flagship journal in production research, he has been recognized as one of the top authors who have had the greatest impact on defining the knowledge represented in IJPR. He is the founding Editor-in-Chief of Decision Making in Manufacturing and Services (AGH University Press).

Inhalt
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.