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Journal Article The Joint Replenishment Problem with Resource Restriction
Cited 71 time in scopus Share share facebook twitter linkedin kakaostory
Authors
I. K. Moon, B. C. Cha
Issue Date
2006-08
Citation
European Journal of Operational Research, v.173, no.1, pp.190-198
ISSN
0377-2217
Publisher
Elsevier
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1016/j.ejor.2004.11.020
Abstract
There are many resource restrictions in real production/inventory systems (for example, budget, storage, transportation capacity, etc.). But unlike other research areas, there is very little research to handle the joint replenishment problem (JRP) with resource restriction. The purpose of this paper is to develop two efficient algorithms for solving these problems. Firstly, we modify the existing RAND algorithm to be applicable to the JRP with resource restriction. Secondly, we develop a genetic algorithm for the JRP with resource restriction. Extensive computational experiments are performed to test the performances of the algorithms. © 2005 Elsevier B.V. All rights reserved.
KSP Keywords
Efficient algorithms, Genetic Algorithm, computational experiments, inventory systems, joint replenishment problem