Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming

This book provides a comprehensive approach to stochastic combinatorial optimization problems in supply chain disruption management, focusing on customer-driven supply chains. It models these problems using scenario-based stochastic mixed integer programming and addresses risk-neutral, risk-averse, and mean-risk decision-making. The book discusses integrated disruption mitigation and recovery decision-making, as well as an innovative multi-portfolio approach. It includes computational examples and exercises to help readers understand the material and apply it to real-world supply chain disruption management problems. The knowledge and tools provided in the book allow readers to model and solve supply chain disruption management problems using commercially available software for mixed integer programming.

Format: Paperback / softback
Length: 467 pages
Publication date: 30 May 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of stochastic combinatorial optimization, specifically focusing on managing supply chain disruptions in customer-driven supply chains. It employs a scenario-based stochastic mixed integer programming approach to address risk-neutral, risk-averse, and mean-risk decision-making scenarios amidst supply chain disruption risks. The book emphasizes integrated disruption mitigation and recovery decision-making, employing innovative and computationally efficient multi-portfolio strategies such as the selection of primary and recovery supply portfolios, demand portfolios, and capacity portfolios.

Throughout the book, numerous computational examples, modeled on real-world supply chain disruption management problems, illustrate the presented material and offer valuable managerial insights. These examples are solved using advanced algebraic modeling languages like AMPL, CPLEX, GUROBI, and XPRESS solvers, providing the reader with the knowledge and tools to model and solve supply chain disruption management problems using commercially available software for mixed integer programming.

The book is organized into six main parts, each addressing key aspects of supply chain disruption management. Part I explores the selection of a supply portfolio, while Part II delves into the integrated selection of supply portfolios and scheduling. Part III examines the integration of supply chain risk management with demand management. Part IV explores the optimization of supply chain networks under disruption scenarios. Part V examines the development of resilient supply chains through risk mitigation strategies. Part VI concludes with an outlook on future research directions in supply chain disruption management.

In addition to its theoretical contributions, the book serves as a valuable resource for practitioners in the field, offering practical insights and methodologies for addressing supply chain disruptions effectively. It is suitable for advanced courses in supply chain risk management and can also be used as a textbook for students seeking a comprehensive understanding of this critical area.

Weight: 765g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030448165
Edition number: 2nd ed. 2020