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

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

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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: , ,
Keywords: programming: integer, fuzzy sets
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 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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