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Vendor Selection: An Enhanced Hybrid Fuzzy MCDM Model

عنوان مقاله: Vendor Selection: An Enhanced Hybrid Fuzzy MCDM Model
شناسه ملی مقاله: JR_JOIE-1-2_005
منتشر شده در شماره 2 دوره 1 فصل Summer and Autumn در سال 1386
مشخصات نویسندگان مقاله:

Behnam Vahdani - Department of Industrial and Mechanical Engineering, Qazvin Azad University, Qazvin, Iran
Akbar Alem-Tabriz - Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran
Mostafa Zandieh - Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran

خلاصه مقاله:
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.

کلمات کلیدی:
vendor s selection; Fuzzy multi criteria decision making (FMCDM); Technique for Order Performance by Similarity to Idea Solution (TOPSIS); Analytic hierarchy process (AHP)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/790876/