Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm

Jun Wang

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

This paper presents a linear assignment algorithm for machine-cell and part-family formation for the design of cellular manufacturing systems. The present approach begins with the determination of part-family or machine-cell representatives by means of comparing similarity coefficients between parts or machines and finding a set of the least similar parts or machines. Using the group representatives and associated similarity coefficients, a linear assignment model is formulated for solving the formation problem by allocating the remaining parts or machines and maximizing a similarity index. Based on the formulated linear assignment model, a group formation algorithm is developed. The results of a comparative study based on multiple performance criteria and many existing data sets show that the present approach is very effective and efficient, especially in dealing with large-sized problems.

Original languageEnglish
Pages (from-to)1607-1615
Number of pages9
JournalAutomatica
Volume39
Issue number9
DOIs
Publication statusPublished - Sep 2003
Externally publishedYes

Keywords

  • Cellular manufacturing systems
  • Clustering algorithms

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