Stochastic Programming in Supply Chain Risk Management: Resilience, Viability, and Cybersecurity
About this ebook
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.
About the author
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.
