Modelling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming.: An article from: IIE Transactions

This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on July 1, 1997. The length of the article is 8286 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: 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.

Citation Details
Title: Modelling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming.
Author: Chang-Chun Tsai
Publication:IIE Transactions (Refereed)
Date: July 1, 1997
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v29 Issue: n7 Page: p533(15)

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