Supply Chain Disruption Management Using Stochastic Mixed - download pdf or read online

By Tadeusz Sawik

This publication offers with stochastic combinatorial optimization difficulties in provide chain disruption administration, with a selected concentrate on administration of disrupted flows in customer-driven offer chains. the issues are modeled utilizing a situation dependent stochastic combined integer programming to handle risk-neutral, risk-averse and mean-risk decision-making within the presence of provide chain disruption hazards. The booklet makes a speciality of leading edge, computationally effective portfolio ways to provide chain disruption administration, e.g., choice of fundamental and restoration provide portfolios, call for portfolios, skill portfolios, etc.
Numerous computational examples in the course of the ebook, modeled partly on real-world offer chain disruption administration difficulties, illustrate the cloth provided and supply managerial insights. within the computational examples, the proposed mathematical programming versions are solved utilizing a complicated algebraic modeling language equivalent to AMPL and CPLEX, GUROBI and XPRESS solvers. the data and instruments supplied within the booklet permit the reader to version and remedy offer chain disruption administration difficulties utilizing commercially to be had software program for combined integer programming. utilizing the end-of bankruptcy difficulties and workouts, the monograph can be used as a textbook for a complicated path in provide chain probability management.
After an introductory bankruptcy, the publication is then divided into 5 major components.  Part I addresses choice of a provide portfolio; half II considers built-in collection of provide portfolio and scheduling; half III appears at built-in, equitably effective collection of provide portfolio and scheduling; half IV examines built-in collection of basic and restoration provide (and call for) portfolios and scheduling; and half V addresses disruption administration of data flows in provide chains.

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By Tadeusz Sawik

This publication offers with stochastic combinatorial optimization difficulties in provide chain disruption administration, with a selected concentrate on administration of disrupted flows in customer-driven offer chains. the issues are modeled utilizing a situation dependent stochastic combined integer programming to handle risk-neutral, risk-averse and mean-risk decision-making within the presence of provide chain disruption hazards. The booklet makes a speciality of leading edge, computationally effective portfolio ways to provide chain disruption administration, e.g., choice of fundamental and restoration provide portfolios, call for portfolios, skill portfolios, etc.
Numerous computational examples in the course of the ebook, modeled partly on real-world offer chain disruption administration difficulties, illustrate the cloth provided and supply managerial insights. within the computational examples, the proposed mathematical programming versions are solved utilizing a complicated algebraic modeling language equivalent to AMPL and CPLEX, GUROBI and XPRESS solvers. the data and instruments supplied within the booklet permit the reader to version and remedy offer chain disruption administration difficulties utilizing commercially to be had software program for combined integer programming. utilizing the end-of bankruptcy difficulties and workouts, the monograph can be used as a textbook for a complicated path in provide chain probability management.
After an introductory bankruptcy, the publication is then divided into 5 major components.  Part I addresses choice of a provide portfolio; half II considers built-in collection of provide portfolio and scheduling; half III appears at built-in, equitably effective collection of provide portfolio and scheduling; half IV examines built-in collection of basic and restoration provide (and call for) portfolios and scheduling; and half V addresses disruption administration of data flows in provide chains.

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Supply Chain Disruption Management Using Stochastic Mixed Integer Programming (International Series in Operations Research & Management Science) by Tadeusz Sawik


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