Volume 17, Issue 1 (7-1998)                   1998, 17(1): 33-41 | Back to browse issues page

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A. Memariani, G. Moslehi. A Fuzzy Algorithm for the m-Machine, n-Job Flow Shop Sequencing Problem. Computational Methods in Engineering 1998; 17 (1) :33-41
URL: http://jcme.iut.ac.ir/article-1-117-en.html
Abstract:   (3478 Views)
Flow shop sequencing problem is included in NP-hard problems and a number of heuristic methods have been developed to solve it. Most of these methods are offered for the crisp processing time. However fuzzy algorithm is appropriate for the problems with fuzzy processing time. This paper presents a method in which an algorithm is used to minimize make span of flow shop with fuzzy processing time by taking advantage of fuzzy mathematics. This method is based on the behavior of the decision maker who can make either pessimistic or the most likely decisions. The algorithm includes proper relations and corresponding results.
Full-Text [PDF 464 kb]   (1109 Downloads)    
Type of Study: Research | Subject: General
Received: 2014/10/25 | Published: 1998/07/15

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