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Information Journal Paper

Title

VENDOR SELECTION: AN ENHANCED HYBRID FUZZY MCDM MODEL

Pages

  31-39

Keywords

FUZZY MULTI CRITERIA DECISION MAKING (FMCDM) 
TECHNIQUE FOR ORDER PERFORMANCE BY SIMILARITY TO IDEA SOLUTION (TOPSIS) 
ANALYTIC HIERARCHY PROCESS (AHP) 

Abstract

 The objective of this article is to develop an empirically based framework for formulating and selecting a vendor in supply chain. This study applies the fuzzy set theory to evaluate the vendor selection decision. Applying Analytic Hierarchy Process (AHP) in obtaining criteria weights and applied Technique for Order Performance by Similarity to Idea Solution (TOPSIS) for obtaining final ranking of vendors. The usefulness of this model is explained through an empirical study for vendor selection.

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    Cite

    APA: Copy

    VAHDANI, BEHNAM, ALEM TABRIZ, AKBAR, & ZANDIEH, MOSTAFA. (2009). VENDOR SELECTION: AN ENHANCED HYBRID FUZZY MCDM MODEL. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 2(PRE. NO. 2), 31-39. SID. https://sid.ir/paper/579813/en

    Vancouver: Copy

    VAHDANI BEHNAM, ALEM TABRIZ AKBAR, ZANDIEH MOSTAFA. VENDOR SELECTION: AN ENHANCED HYBRID FUZZY MCDM MODEL. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2009;2(PRE. NO. 2):31-39. Available from: https://sid.ir/paper/579813/en

    IEEE: Copy

    BEHNAM VAHDANI, AKBAR ALEM TABRIZ, and MOSTAFA ZANDIEH, “VENDOR SELECTION: AN ENHANCED HYBRID FUZZY MCDM MODEL,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 2, no. PRE. NO. 2, pp. 31–39, 2009, [Online]. Available: https://sid.ir/paper/579813/en

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