Supply Chain Disruption Management Using Stochastic Mixed Integer Programming

This PDF ebook, Supply Chain Disruption Management Using Stochastic Mixed Integer Programming, handle stochastic combinatorial optimization issues in supply chain disruption management, with a specific concentrate on management of interrupted circulations in customer-driven supply chains. The issues are designed using a circumstance based stochastic mixed integer programming to deal with risk-neutral, risk-averse and mean-risk decision-making in the existence of supply chain disruption dangers. The etextbook concentrates on ingenious, computationally effective portfolio techniques to supply chain disruption management, e.g., choice of main and healing supply portfolios, capability portfolios, need portfolios, and so on Numerous computational examples throughout the ebook, designed in part on real-world supply chain disruption management issues, highlight the product provided and offer supervisory insights. In the computational examples, the proposed mathematical programming designs are resolved using an innovative algebraic modeling language such as AMPL and GUROBI, CPLEX, and XPRESS solvers. The understanding and tools supplied in the ebook permit the reader to fix and design supply chain disruption management issues using commercially readily available software application for mixed integer programming. Using the end-of chapter issues and workouts, the essay can likewise be utilized as an etextbook for an innovative course in supply chain threat management. After an initial chapter, the PDF ebook is then divided into 5 primary parts. Part I addresses choice of a supply portfolio; Part II thinks about incorporated choice of supply portfolio and scheduling; Part III takes a look at incorporated, equitably effective choice of supply portfolio and scheduling; Part IV analyzes incorporated choice of main and healing need (and supply) portfolios and scheduling; and Part V addresses disruption management of details streams in supply chains.