Manufacturing Cell Formation by Competitive Learning
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 pu...
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1993
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sg-smu-ink.sis_research-27922013-03-15T10:12:03Z Manufacturing Cell Formation by Competitive Learning CHU, Chao-Hsien 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. 1993-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1793 info:doi/10.1080/00207549308956760 http://dx.doi.org/10.1080/00207549108948024 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Operations Research, Systems Engineering and Industrial Engineering |
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Computer Sciences Operations Research, Systems Engineering and Industrial Engineering |
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Computer Sciences Operations Research, Systems Engineering and Industrial Engineering CHU, Chao-Hsien Manufacturing Cell Formation by Competitive Learning |
| description |
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. |
| format |
text |
| author |
CHU, Chao-Hsien |
| author_facet |
CHU, Chao-Hsien |
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CHU, Chao-Hsien |
| title |
Manufacturing Cell Formation by Competitive Learning |
| title_short |
Manufacturing Cell Formation by Competitive Learning |
| title_full |
Manufacturing Cell Formation by Competitive Learning |
| title_fullStr |
Manufacturing Cell Formation by Competitive Learning |
| title_full_unstemmed |
Manufacturing Cell Formation by Competitive Learning |
| title_sort |
manufacturing cell formation by competitive learning |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
1993 |
| url |
https://ink.library.smu.edu.sg/sis_research/1793 http://dx.doi.org/10.1080/00207549108948024 |
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1770571500035768320 |