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An Enterprise Risk Management Model for Supply Chains

  • John M. Mulvey
  • Hafize G. Erkan
Chapter
Part of the Springer Optimization and Its Applications book series (SOIA, volume 30)

Summary

The design of an optimal supply chain rarely considers uncertainty within the modeling framework. This omission is due to several factors, including tradition, model size, and the difficulty in measuring the stochastic parameters. We show that a stochastic program provides an ideal framework for optimizing a large supply chain in the face of an uncertain future. The goal is to reduce disruptions and to minimize expected costs under a set of plausible scenarios. We illustrate the methodology with a global production problem possessing currency movements.

Keywords

Supply Chain Stochastic Program Debt Ratio Exchange Rate Movement Payout Ratio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  1. 1.Department of Operations Research and Financial EngineeringPrinceton UniversityPrinceton

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