Modeling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming

Chang Chun Tsai, Chao Hsien Chu, Thomas Arnold Barta

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Cell formation (CF) has received much attention from academicians and practitioners because of its strategic importance to modern manufacturing practice. In this paper a sophisticated mixed-integer programming (MIP) model is proposed to simultaneously form manufacturing cells and minimize the cost of dealing with exceptional elements. Also, we illustrate how a fuzzy mixed-integer programming (FMIP) approach can be used to solve the CF problem in a fuzzy environment, propose a new fuzzy operator, and examine the impact of different membership functions and operators on computational performance. Our study shows that FMIP not only provides a better and more flexible way of representing the problem domain, it also leads to improved overall performance.

Original languageEnglish (US)
Pages (from-to)533-547
Number of pages15
JournalIIE Transactions (Institute of Industrial Engineers)
Volume29
Issue number7
DOIs
StatePublished - 1997

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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