A comparison of three array-based clustering techniques for manufacturing cell formation

Chao Hsien Chu, Mayshing Tsai

Research output: Contribution to journalArticle

79 Citations (Scopus)

Abstract

This paper examines three array-based clustering algorithms—rank order clustering (ROC), direct clustering analysis (DCA), and bond energy analysis (BEA)—for manufacturing cell formation. According to our test, bond energy analysis outperforms the other two methods, regardless of which measure or data set is used. If exceptional elements exist in the data set, the BEA algorithm also produces better results than the other two methods without any additional processing. The BEA can compete with other more complicated methods that have appeared in the literature.

Original languageEnglish (US)
Pages (from-to)1417-1433
Number of pages17
JournalInternational Journal of Production Research
Volume28
Issue number8
DOIs
StatePublished - Jan 1 1990

Fingerprint

Cellular manufacturing
Processing
Energy analysis
Cell formation
Clustering
Manufacturing

All Science Journal Classification (ASJC) codes

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

Cite this

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A comparison of three array-based clustering techniques for manufacturing cell formation. / Chu, Chao Hsien; Tsai, Mayshing.

In: International Journal of Production Research, Vol. 28, No. 8, 01.01.1990, p. 1417-1433.

Research output: Contribution to journalArticle

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