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

Publication Type

Journal Article

Publication Date

1997

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.

Discipline

Computer Sciences | Management Information Systems

Research Areas

Information Systems and Management

Publication

IIE Transactions

Volume

29

Issue

7

First Page

533

Last Page

547

ISSN

0740-817X

Identifier

10.1023/A:1018545312560

Publisher

Springer Verlag

Additional URL

http://dx.doi.org/10.1023/A:1018545312560

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