On computing order quantities for perishable inventory control with non-stationary demand

Alejandro Gutierrez-Alcoba, Eligius M.T. Hendrix, Inmaculada García, Gloria Ortega, Karin G.J. Pauls-Worm, Rene Haijema

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The determination of order quantities in an inventory control problem of perishable products with non-stationary demand can be formulated as a Mixed Integer Nonlinear Programming problem (MINLP). One challenge is to deal with the β-service level constraint in terms of the loss function. This paper studies the properties of the optimal solution and derives specific algorithms to determine optimal quantities.

Original languageEnglish
Title of host publicationICCSA 2015
Subtitle of host publicationComputational Science and Its Applications
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Marina L. Gavrilova, Ana Maria Alves Coutinho Rocha, Carmelo Torre, David Taniar, Bernady O. Apduhan
PublisherSpringer
Pages429-444
Number of pages16
Volume9156
DOIs
Publication statusPublished - 20 Jun 2015
Event15th International Conference on Computational Science and Its Applications, ICCSA 2015 - Banff, Canada
Duration: 22 Jun 201525 Jun 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
ISSN (Print)0302-9743

Conference

Conference15th International Conference on Computational Science and Its Applications, ICCSA 2015
Country/TerritoryCanada
CityBanff
Period22/06/1525/06/15

Keywords

  • inventory control
  • loss function
  • MINLP
  • Monte Carlo
  • perishable products

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