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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主要作者: CHU, Chao-Hsien
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 1993
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/1793
http://dx.doi.org/10.1080/00207549108948024
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機構: Singapore Management University
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spelling 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
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Operations Research, Systems Engineering and Industrial Engineering
spellingShingle 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
author_sort 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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