TY - JOUR
T1 - Modeling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming
AU - Tsai, Chang Chun
AU - Chu, Chao Hsien
AU - Barta, Thomas Arnold
N1 - Funding Information:
We gratefully acknowledge the valuable comments and suggestions from anonymous referees and Dr Y. Yih, editor of the Manufacturing Systems Modeling Department. This research was partly supported by a research grant from the Iowa Center for Emerging Manufacturing Technology and the National Sciences Council of Taiwan.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
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U2 - 10.1080/07408179708966364
DO - 10.1080/07408179708966364
M3 - Article
AN - SCOPUS:0031177183
SN - 0740-817X
VL - 29
SP - 533
EP - 547
JO - IIE Transactions (Institute of Industrial Engineers)
JF - IIE Transactions (Institute of Industrial Engineers)
IS - 7
ER -