Application of noise clustering in group technology

Sumit Sen, Rajesh N. Dave

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Cell formation is the most important problem faced in designing cellular manufacturing systems based on the principle of Group Technology. In that, parts with similar geometry, function, material and/or requiring a similar production process are grouped into part families and corresponding machines are organized as independent cells. One of the main weaknesses of the conventional grouping methods is that they implicitly assume that the components belong to one of the part families. In reality, some parts often require processing by machines from multiple cells and thereby belong to more than one-part families and appear as bottleneck parts. It is necessary to identify these bottleneck parts while grouping, and subsequently, they may be processed by alternative methods, say subcontracting. The identification of bottleneck parts may be considered equivalent to the isolation of noise and outliers in robust fuzzy classification task. In this paper, Dave's noise resistant fuzzy clustering model is applied to solve this problem.

Original languageEnglish (US)
Pages366-370
Number of pages5
StatePublished - Jan 1 1999
EventProceedings of the 1999 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS'99 - New York, NY, USA
Duration: Jun 10 1999Jun 12 1999

Conference

ConferenceProceedings of the 1999 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS'99
CityNew York, NY, USA
Period6/10/996/12/99

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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