Fuzzy linear programming approach to manufacturing cell formation

Author

Tsai, Chang-Chun ; Chu, Chao-Hsien ; Barta, Thomas Arnold

Author_Institution

Dept. of Ind. & Manuf. Syst. Eng., Iowa State Univ., Ames, IA, USA

fYear

1994

fDate

26-29 Jun 1994

Firstpage

1406

Abstract

Modeling real world problems precisely is a very difficult task as most of the objective and constraints cannot be precisely defined and the data is either unavailable or indeterminate. Fortunately, this type of problem can be solved efficiently via fuzzy mathematical programming. This paper illustrates how a fuzzy linear programming approach be used to model and solve cell formation (CF) problems. We also examined different membership functions to see their impacts on the computational performance. This study reveals that representing the CF problem using fuzzy set theory not only is a clever and flexible choice, it also can lead to improve the overall performance

Keywords

computer integrated manufacturing; fuzzy logic; fuzzy set theory; linear programming; cell formation problems; computational performance; fuzzy linear programming; fuzzy mathematical programming; fuzzy set theory; manufacturing cell formation; membership functions; Cellular manufacturing; Chaos; Cost function; Delta modulation; Linear programming; Manufacturing industries; Manufacturing systems; Mathematical model; Mathematical programming; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343562

Filename

343562