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Introduction and Examples

  • John R. BirgeEmail author
  • François Louveaux
Chapter
Part of the Springer Series in Operations Research and Financial Engineering book series (ORFE)

Abstract

This chapter presents stochastic programming examples from a variety of areas with wide application. These examples are intended to help the reader build intuition on how to model uncertainty. They also reflect different structural aspects of the problems. In particular, we show the variety of stochastic programming models in terms of the objectives of the decision process, the constraints on those decisions, and their relationships to the random elements.

Keywords

Sugar Beet Stochastic Program Probabilistic Constraint Capacity Expansion Stochastic Programming Model 
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 Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Booth School of BusinessUniversity of ChicagoChicagoUSA
  2. 2.Department of Business AdministrationUniversity of NamurNamurBelgium

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