Formation of machine groups and part families: A modified SLC method and comparative study

Hassan M. Selim, Reda M.S. Abdel Aal, Araby I. Mahdi

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

This paper introduces a modified single linkage clustering heuristic (MOD-SLC). The proposed MOD-SLC objective is to test the application of Baroni-Urban and Buser (BUB) similarity coefficient to the manufacturing cell formation (MCF) problem instead of Jaccard's similarity coefficient. The MOD-SLC has been compared and evaluated against three cluster formation-based heuristics for MCF. The three heuristics are: the single linkage clustering, enhanced rank order clustering, and direct clustering algorithm. The MCF methods considered in this comparative and evaluative study belong to the cluster formation approach of solving the MCF problem. The comparison and evaluation are performed using four published performance measures. A total of 25 published and ten hypothetical and randomly generated problem data sets are used in the proposed evaluative study. Results analysis is carried out to test and validate the proposed BUB based MOD-SLC. Finally the pros and cons of each method are stated and discussed.

Original languageEnglish
Pages (from-to)123-137
Number of pages15
JournalIntegrated Manufacturing Systems
Volume14
Issue number2
DOIs
Publication statusPublished - 2003
Externally publishedYes

Keywords

  • Cellular manufacturing
  • Cluster analysis
  • Effectiveness
  • Groups
  • Measurement

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering

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