Volume 21, Issue 2 (IJIEPM 2010)                   IJIEPM 2010, 21(2): 1-10 | Back to browse issues page

XML Persian Abstract Print

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

Ghazinoory S, Sadeghian R, Samouei P. Comparing of Utilizing “Theory of Constraints” Versus “Fuzzy Linear Programming” in Fuzzy Product-Mix Problems. IJIEPM. 2010; 21 (2) :1-10
URL: http://ijiepm.iust.ac.ir/article-1-323-en.html
, ghazinoory@modares.ac.ir
Abstract:   (9203 Views)

  In the recent years, theory of constraints (TOC) has emerged as an effective management philosophy for solving product mix problem with the aim of profit maximization by considering the bottleneck. 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 parameters.

In this research, an algorithm based TOC is proposed for product mix problem with bottleneck(s) and fuzzy processing time and fuzzy capacity. The efficiency of this algorithm compared with Fuzzy Linear Programming(FLP), TOC heuristic, Revised-TOC(RTOC), Hybrid Tabu-SA, genetic algorithm, and tabu search through three illustrative examples but in this comparison, we focused on FLP. The results have shown inefficiency of TOC in fuzzy state .
Full-Text [PDF 414 kb]   (2288 Downloads)    
Type of Study: Applicable |
Received: 2010/08/25

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

Send email to the article author

© 2018 All Rights Reserved | International Journal of Industrial Engineering & Production Management

Designed & Developed by : Yektaweb