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Supply Chain Disruption Management Using Stochastic Mixed Integer Programming (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R2,898
Discovery Miles 28 980
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Supply Chain Disruption Management Using Stochastic Mixed Integer Programming (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: International Series in Operations Research & Management Science, 256
Expected to ship within 10 - 15 working days
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This book 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-neutral, risk-averse and
mean-risk decision-making in the presence of supply chain
disruption risks. The book focuses on innovative, computationally
efficient portfolio approaches to supply chain disruption
management, e.g., selection of primary and recovery supply
portfolios, demand portfolios, capacity portfolios, etc. Numerous
computational examples throughout the book, modeled in part on
real-world supply chain disruption management problems, illustrate
the material presented and provide managerial insights. In the
computational examples, the proposed mathematical programming
models are solved using an advanced algebraic modeling language
such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge
and tools provided in the book allow the reader to model and solve
supply chain disruption management problems using commercially
available software for mixed integer programming. Using the end-of
chapter problems and exercises, the monograph can also be used as a
textbook for an advanced course in supply chain risk management.
After an introductory chapter, the book is then divided into five
main parts. Part I addresses selection of a supply portfolio; Part
II considers integrated selection of supply portfolio and
scheduling; Part III looks at integrated, equitably efficient
selection of supply portfolio and scheduling; Part IV examines
integrated selection of primary and recovery supply (and demand)
portfolios and scheduling; and Part V addresses disruption
management of information flows in supply chains.
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