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

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Proposed Fuzzy Revised Theory of Constraints Algorithm for Product Mix Problems with Fuzzy Capacity, Profit and Processing Times. IJIEPM. 2012; 22 (4) :359-368
URL: http://ijiepm.iust.ac.ir/article-1-806-en.html
Abstract:   (13684 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 .
Full-Text [PDF 2941 kb]   (2536 Downloads)    

Add your comments about this article : Your username or Email:
Write the security code in the box

© 2015 All Rights Reserved | International Journal of Industrial Engineering & Production Management

Designed & Developed by : Yektaweb