Manufacturing cell formation by competitive learning

Chao Hsien Chu, Chao Hsien Chu

Research output: Contribution to journalArticle

39 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)829-843
Number of pages15
JournalInternational Journal of Production Research
Volume31
Issue number4
DOIs
StatePublished - Apr 1993

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Cellular manufacturing
Neural networks
Industry
Cell formation
Manufacturing
Cellular manufacturing systems
Grouping
Paradigm
Clustering

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

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Manufacturing cell formation by competitive learning. / Chu, Chao Hsien; Chu, Chao Hsien.

In: International Journal of Production Research, Vol. 31, No. 4, 04.1993, p. 829-843.

Research output: Contribution to journalArticle

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