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

• Main Authors: TSAI, Chang-Chun, CHU, Chao-Hsien, Barta, Thomas Arnold
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 1997
• Subjects: Computer Sciences; Management Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/1768; http://dx.doi.org/10.1023/A:1018545312560
• Institution: Singapore Management University

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.