Research on manufacture cell construction method based on fuzzy technology

Jie Li, Yun Feng Wang, Chao Hsien Chu, Yong Xu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A new fuzzy clustering algorithm was proposed for manufacture cell formation to avoid infeasible and non-optimal solutions with Fuzzy C-Means. An improved subtract algorithm was used for creation to avoid local optimization, a new distance function was developed to avoid clustering errors among components caused by Euclidean distance, and a best-solution-selection procedure was advocated to avoid final infeasible solution caused by unsuitable algorithm stop-parameter selection. Large-scale comparative tests with 10 literature data sets and 90 random-generated data sets have verified superiority of the proposed algorithm.

Original languageEnglish (US)
Pages (from-to)1561-1566
Number of pages6
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume10
Issue number12
StatePublished - Dec 1 2004

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Fuzzy clustering
Clustering algorithms

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

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Research on manufacture cell construction method based on fuzzy technology. / Li, Jie; Wang, Yun Feng; Chu, Chao Hsien; Xu, Yong.

In: Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, Vol. 10, No. 12, 01.12.2004, p. 1561-1566.

Research output: Contribution to journalArticle

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