Supply Chain Disruption Management Using Stochastic Mixed Integer Programming

This comprehensive PDF ebook, Supply Chain Disruption Management Using Stochastic Mixed Integer Programming, delves deeply into the complexities of stochastic combinatorial optimization within the context of supply chain disruption management. It offers a focused exploration of how to effectively manage disrupted flows in customer-oriented supply chains. Leveraging a scenario-based stochastic mixed integer programming approach, this resource tackles key decision-making facets, such as risk-neutral, risk-averse, and mean-risk frameworks, in the face of supply chain disruption challenges.

This etextbook emphasizes cutting-edge, computationally efficient portfolio strategies for effectively navigating supply chain disruptions. Key topics include the strategic selection of primary and recovery supply portfolios, capacity portfolios, and demand portfolios, ensuring that readers gain practical insights into these vital components of supply chain resilience.

Throughout the ebook, you will find numerous computational examples inspired by real-world supply chain disruption management scenarios, which serve to illustrate theoretical concepts and provide valuable managerial understandings. These examples utilize advanced algebraic modeling languages like AMPL paired with powerful solvers including GUROBI, CPLEX, and XPRESS to solve the proposed mathematical programming models. The insights and tools present in this ebook equip readers with the competencies needed to model and resolve supply chain disruption management issues using commercially available software dedicated to mixed integer programming.

Tailored for advanced students in the realm of supply chain risk management, the monograph also contains end-of-chapter problems and exercises, making it suitable for academic courses.

Following an introductory segment, the PDF ebook is organized into five pivotal parts, providing a structured learning experience: Part I concentrates on the selection of a robust supply portfolio; Part II explores the integrated selection of supply portfolios alongside scheduling methods; Part III investigates the equitable selection processes for supply portfolios and scheduling; Part IV analyzes the interconnectedness of demand and supply portfolios, including primary and recovery strategies; and Part V addresses the crucial aspect of managing information flow disruptions within supply chains.

This ebook is an indispensable resource for anyone seeking to enhance their understanding and skills in supply chain disruption management and optimization.