Manufacturing Cell Formation by Competitive Learning
Publication Type
Journal Article
Publication Date
1993
Abstract
Cell formation (CF), one of the first problems faced in designing a cellular manufacturing system, involves grouping similar parts into families and corresponding machines into cells. The problem has attracted much attention from academia and industries, and an extensive amount of effort has been put into developing efficient procedures. In this paper, a neural network approach based upon a competitive learning paradigm is proposed to handle such a problem. Computational experience shows that the procedure is fairly efficient and can effectively obtain optimal clustering results.
Discipline
Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Information Systems and Management
Publication
International Journal of Production Research
Volume
31
Issue
4
First Page
829
Last Page
843
ISSN
0020-7543
Identifier
10.1080/00207549308956760
Publisher
Taylor and Francis
Citation
CHU, Chao-Hsien.
Manufacturing Cell Formation by Competitive Learning. (1993). International Journal of Production Research. 31, (4), 829-843.
Available at: https://ink.library.smu.edu.sg/sis_research/1793
Additional URL
http://dx.doi.org/10.1080/00207549108948024