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

Chao Hsien Chu, Mayshing Tsai

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

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

All Science Journal Classification (ASJC) codes

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

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