1
Department of Industrial and Mechanical Engineering, Qazvin Azad University, Qazvin, Iran
2
Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran
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.
Vahdani, B., Alem-Tabriz, A., Zandieh, M. (2010). Vendor Selection:
An Enhanced Hybrid Fuzzy MCDM Model. Journal of Optimization in Industrial Engineering, Volume 1(Issue 2), 31-39.
MLA
Behnam Vahdani; Akbar Alem-Tabriz; Mostafa Zandieh. "Vendor Selection:
An Enhanced Hybrid Fuzzy MCDM Model". Journal of Optimization in Industrial Engineering, Volume 1, Issue 2, 2010, 31-39.
HARVARD
Vahdani, B., Alem-Tabriz, A., Zandieh, M. (2010). 'Vendor Selection:
An Enhanced Hybrid Fuzzy MCDM Model', Journal of Optimization in Industrial Engineering, Volume 1(Issue 2), pp. 31-39.
VANCOUVER
Vahdani, B., Alem-Tabriz, A., Zandieh, M. Vendor Selection:
An Enhanced Hybrid Fuzzy MCDM Model. Journal of Optimization in Industrial Engineering, 2010; Volume 1(Issue 2): 31-39.
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