Article ID: | iaor19991859 |
Country: | United States |
Volume: | 29 |
Issue: | 7 |
Start Page Number: | 533 |
End Page Number: | 547 |
Publication Date: | Jul 1997 |
Journal: | IIE Transactions |
Authors: | Chu Chao-Hsien, Tsai Chang-Chun, Barta Thomas Arnold |
Keywords: | programming: integer, fuzzy sets |
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 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.