Optimal inventory control of lumpy demand items using genetic algorithms

K. L. Mak, Y. S. Wong, G. Q. Huang

Research output: Journal article publicationConference articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

This paper is concerned with the optimal control of inventory items which experience lumpy demands. A mathematical model is developed for the determination of optimal replenishment policies for such items. In order to avoid disrupting the inventory system, a maximum issue quantity of w units is specified such that customer orders with sizes exceeding w units will be filtered out of the inventory system and treated as special orders to be satisfied by placing special replenishment orders to a supplier. Customer orders with sizes less than or equal to w units will be met from stock. A genetic search algorithm is developed to solve the problem. The theoretical results obtained are illustrated with a numerical example.

Original languageEnglish
Pages (from-to)273-276
Number of pages4
JournalComputers and Industrial Engineering
Volume37
Issue number1
DOIs
Publication statusPublished - Oct 1999
Externally publishedYes
EventProceedings of the 1998 24th International Conference on Computers and Industrial Engineering - Middlesex, UK
Duration: 2 Sept 19984 Sept 1998

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering

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