On solving a stochastic programming model for perishable inventory control

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This paper describes and analyses a Stochastic Programming (SP) model that is used for a specific inventory control problem for a perishable product. The decision maker is confronted with a non-stationary random demand for a fixed shelf life product and wants to make an ordering plan for a finite horizon that satisfies a service level constraint. In literature several approaches have been described to generate approximate solutions. The question dealt with here is whether exact approaches can be developed that generate solutions up to a guaranteed accuracy. Specifically, we look into the implications of a Stochastic Dynamic Programming (SDP) approach.
Original languageEnglish
Title of host publicationProceedings of the 12th International Conference, 18-21 June 2012, Salvador de Bahia, Brazil, Proceedings Part III
EditorsB. Murgante, G. Osvaldo, S. Misra
Place of PublicationHeidelberg
ISBN (Print)9783642311376
Publication statusPublished - 2012
EventICCSA 2012, part III -
Duration: 18 Jun 201221 Jun 2012


ConferenceICCSA 2012, part III


  • Dynamic Programming
  • Inventory control
  • Perishable products
  • Service level constraint
  • Stochastic Programming


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