Fuzzy linear programming approach to manufacturing cell formation

Chang Chun Tsai, Chao Hsien Chu, Thomas Arnold Barta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Modeling real world problems precisely is a very difficult task as most of the objective and constraints can't be precisely defined and the data is either unavailable or indeterminate. Fortunately, this type of problem can be solved efficiently via fuzzy mathematical programming. This paper illustrates how a fuzzy linear programming approach be used to model and solve cell formation (CF) problems. We also examined different membership functions to see their impacts on the computational performance. This study reveals that Representing the CF problem using fuzzy set theory not only is a clever and flexible choice, it also can lead to improve the overall performance.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages1406-1411
Number of pages6
Volume2
StatePublished - 1994
EventProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA
Duration: Jun 26 1994Jun 29 1994

Other

OtherProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
CityOrlando, FL, USA
Period6/26/946/29/94

All Science Journal Classification (ASJC) codes

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

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