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Journal Article Hybrid genetic algorithm for group technology economic lot scheduling problem
Cited 19 time in scopus Share share facebook twitter linkedin kakaostory
Authors
I. K. Moon, B. C. Cha, H. C. Bae
Issue Date
2006-11
Citation
International Journal of Production Research, v.44, no.21, pp.4551-4568
ISSN
0020-7543
Publisher
Taylor & Francis
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1080/00207540500534405
Abstract
The concept of group technology has been successfully applied to many production systems, including flexible manufacturing systems. In this paper we apply group technology principles to the economic lot scheduling problem, which has been studied for over 40 years. We develop a heuristic algorithm and a hybrid genetic algorithm for the group technology economic lot scheduling problem. Numerical experiments show that the developed algorithms outperform the existing heuristics.
KSP Keywords
Flexible manufacturing systems, Heuristic algorithm, Numerical experiments, Production system, economic lot scheduling problem, group technology, hybrid genetic algorithm