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Details for article 120 of 180 found articles
| Title: |
Modeling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming |
| Author: |
Tsai, Chang-Chun Chu, Chao-Hsien Barta, Thomas Arnold |
| Appeared in: |
IIE transactions |
| Paging: | Volume 29 (1997) nr. 7 pages 533-547 |
| Year: |
1997-07-01 |
| Contents: |
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. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 120 of 180 found articles
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