Fuzzy part family formation based on grey relational analysis

C. C.L. Wang, S. F. Chen, M. M.F. Yuen

Research output: Contribution to journalArticlepeer-review


Part family formation is one of the most important techniques in computer-aided process planning (CAPP). This paper presents a new method that uses grey relational analysis and fuzzy clustering to form part families. The main objective of this paper is to identify part families based on a new similarity coefficient which considers processing time, lot size, machine usability, etc., by using grey relational analysis. After the similarity coefficient is calculated, a fuzzy clustering method is used to obtain part families. The main contribution of this paper is to provide a rigorous mathematical approach to forming part families. Part family formation can be controlled, for different applications, by setting a resolution threshold, so the approach is flexible, practical and reliable.

Original languageEnglish
Pages (from-to)128-132
Number of pages5
JournalInternational Journal of Advanced Manufacturing Technology
Issue number2
Early online dateJul 2001
Publication statusPublished - 11 Oct 2001


  • Fuzzy clustering
  • Grey relational analysis
  • Group technology


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