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Cost-based filtering for stochastic inventory control

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

An interesting class of production/inventory control problems considers a single product and a single stocking location, given a stochastic demand with a known non-stationary probability distribution. Under a widely-used control policy for this type of inventory system, the objective is to find the optimal number of replenishments, their timings and their respective order-up-to-levels that meet customer demands to a required service level. We extend a known CP approach for this problem using a cost-based filtering method. Our algorithm can solve to optimality instances of realistic size much more efficiently than previous approaches, often with no search effort at all.

Original languageEnglish
Title of host publicationRecent Advances in Constraints - 11th Annual ERCIM International Workshop on Constraint Solving and Contraint Logic Programming, CSCLP 2006, Revised Selected and Invited Papers
PublisherSpringer Verlag
Pages169-183
Number of pages15
ISBN (Print)9783540738169
DOIs
Publication statusPublished - 2007
Event11th Annual European Research Consortium for Informatics and Mathematics (ERCIM) International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2006 - Caparica, Portugal
Duration: 26 Jun 200626 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4651 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Annual European Research Consortium for Informatics and Mathematics (ERCIM) International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2006
Country/TerritoryPortugal
CityCaparica
Period26/06/0626/06/06

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