Volume 22, Issue 4 (IJIEPM 2012)                   2012, 22(4): 359-368 | Back to browse issues page

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Proposed Fuzzy Revised Theory of Constraints Algorithm for Product Mix Problems with Fuzzy Capacity, Profit and Processing Times. Journal title 2012; 22 (4) :359-368
URL: http://ijiepm.iust.ac.ir/article-1-806-en.html
Proposed Fuzzy Revised Theory of Constraints Algorithm for Product Mix Problems with Fuzzy Capacity, Profit and Processing Times
Abstract:   (16980 Views)

  One of methods that used in product mix problems is theory of constraints (TOC). However, unfortunately it is not efficient in some situations. So many researchers have tried to solve these inefficiencies. In this way, Revised Theory of Constraints is proposed to use the advantage of this method for certainty conditions .

Nevertheless, in the real world situations many parameters such as processing time, capacity and profit are not completely certain. Furthermore, Fuzzy set theory has been used to model systems that are hard to define precisely and represents an attractive tool to aid research in production management when the dynamics of the production environment limit the specification of model objectives, constraints and the precise measurement of model parameter. So In this paper, an algorithm based on RTOC and fuzzy logic is proposed. The results have shown this algorithm is an effective and flexible algorithm .
Keywords: Product mix, Theory of constraints, Fuzzy linear programming, Fuzzy processing time, Fuzzy capacity, Fuzzy profit
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Type of Study: Research | Subject: Other related Industrial and production reserach subjects in which has direct relation to the state-of-the art of the IE
Received: 2012/03/14 | Published: 2012/02/15
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