Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming (2nd Edition) – eBook PDF

Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming (2nd Edition) – eBook PDF

This ebook, Supply Chain Disruption Management, 2nd edition (PDF) 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-averse, riskneutral, and mean-risk decision-making in the presence of supply chain disruption risks. The textbook focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, capacity portfolios, demand portfolios, etc.

Throughout the ebook, a number of computational examples, based in part on real-world supply chain disruption management issues, are used to explain the content and provide managerial insights. Many of the ebook’s propositions contribute to a thorough understanding of the properties of proven stochastic mixed integer programmes and their optimal solutions. The proposed mathematical programming models are solved using advanced algebraic modelling languages such as AMPL and CPLEX, GUROBI and XPRESS solvers in the computational examples. Using commercially available software for mixed integer programming, the reader can model and solve supply chain disruption management problems using the information and tools given in the book.

The monograph can also be used as a manual for an advanced course in supply chain risk management by using the end-of-chapter problems and exercises.

The ebook is divided into six main sections after an introductory chapter. Part I deals with supply portfolio selection; Part II with integrated supply portfolio and scheduling; Part III with integrated, equitably efficient supply portfolio and scheduling; Part IV with integrated primary and recovery supply and demand portfolios and production and inventory scheduling; and Part V with resilient supply portfolio selection.

NOTE: This sale only includes the ebook Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming (2nd Edition) in PDF. No access codes included.