Volume 22, Issue 2 (IJIEPR 2011)                   IJIEPR 2011, 22(2): 107-114 | Back to browse issues page

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Elahi B, Seyed-HosseinI S M, Makui A. A Fuzzy Compromise Programming Solution for Supplier Selection in Quantity Discounts Situation. IJIEPR 2011; 22 (2) :107-114
URL: http://ijiepr.iust.ac.ir/article-1-288-en.html
A Fuzzy Compromise Programming Solution for Supplier Selection in Quantity Discounts Situation
Behin Elahi1 , Seyed Mohammad Seyed-HosseinI2 , Ahmad Makui 3
1- M.S.C Student of Industrial Engineering, Department of Industrial Engineering Iran University of Science and Technology ,Iran, Tehran
2- Professor, Department of Industrial Engineering Iran University of Science and Technology ,Iran, Tehran
3- Professor, Department of Industrial Engineering Iran University of Science and Technology ,Iran, Tehran , Amakui@iust.ac.ir
Abstract:   (11413 Views)

 

  Supplier selection,

  Multi-objective decision making,

  Fuzzy Compromise programming,

  Supply chain management,

  Quantity discount .

 

Supplier selection is naturally a complex multi-objective problem including both quantitative and qualitative factors. This paper deals with this issue from a new view point. A quantity discount situation, which plays a role of motivator for buyer, is considered. Moreover, in order to find a reasonable compromise solution for this problem, at first a multi-objective modeling is presented. Then a proposed fuzzy compromise programming is utilized to determine marginal utility function for each criterion. Also, group decision makers’ preferences have taken into account and the weight of each criterion has been measured by forming pair-wise comparison matrixes. Finally the proposed approach is conducted for a numerical example and its efficacy and efficiency are verified via this section. The results indicate that the proposed method expedites the generation of compromise solution .

Keywords: Supplier selection, Multi-objective decision making, Fuzzy Compromise programming, Supply chain management, Quantity discount.
Full-Text [PDF 164 kb]   (3841 Downloads)    
Type of Study: Research | Subject: Other Related Subject
Received: 2011/07/19 | Published: 2011/06/15
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