Title :
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
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;
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
DOI :
10.1109/FUZZY.1994.343562
