Volume 22, Issue 4 (IJIEPR 2011)                   IJIEPR 2011, 22(4): 271-280 | Back to browse issues page

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Shirinfar M, Haleh H. Supplier Selection and Evaluation by Fuzzy Multi-Criteria Decision Making Methodology. IJIEPR. 2011; 22 (4) :271-280
URL: http://ijiepr.iust.ac.ir/article-1-370-en.html
1- , Department of Industrial Engineering, Isfahan University of Technology, Isfahan, Iran
2- Faculty of Industrial and Mechanical Engineering, Islamic Azad University, QAZVIN branch, Qazvin, Iran , hhaleh@qiau.ac.ir
Abstract:   (8526 Views)

In this study, an outsourcer evaluation and management system is developed for a manufacturing company by use of Fuzzy goal programming (FGP). A first phase of the methodology evaluation criteria for outsources and the objectives of the company are determined. Considering the fuzziness in the decision data, linguistic variables that can be expressed in generalized fuzzy number are used. The propose approach is utilized from fuzzy sets, Analytic Network Process (ANP), fuzzy TOPSIS and Preference Ranking Organization method for enrichment evaluations (PROMETHEE) approaches. Evaluation criteria for this problem are weighted by Fuzzy ANP approach then in the Fuzzy TOPSIS and Fuzzy PROMETHEE approaches. At the second phase the FGP model developed selects the most appropriate outsourcers suitable to be strategic partners with the company and simultaneously allocates the quantities to be ordered to them. At the end, gives the computational results .

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Type of Study: Research | Subject: Other Related Subject
Received: 2011/11/21 | Published: 2011/12/15

Cited by [4] [PDF 102 KB]  (313 Download)
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