Supplier selection under fuzzy environment: A hybrid model using kam in DEA

Fallahpour, A. and Olugu, E.U. and Musa, S.N. and Khezrimotlagh, D. and Singh, S. (2014) Supplier selection under fuzzy environment: A hybrid model using kam in DEA. In: Proceedings of the 12th International Conference of DEA, 14-17 Apr 2014, Kuala Lumpur.


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In today’s competitive world, supplier selection is buzzword issue to business success for industries and firms. Robust methods are required to evaluate and select qualified suppliers. Regarding to the literature, the hybrid Data Envelopment Analysis-Artificial Intelligence (DEA-AI) models are the effective models to assess the suppliers’ performance. This paper proposes an integrating Kourosh and Arash Model (KAM) in DEA and Adaptive Fuzzy Inference System (ANFIS) as a powerful tool in prediction to estimate the supplier efficiency scores. This hybrid model consists of two parts. First part applies KAM to determine a best technical efficiency score for each supplier. Second part utilizes the suppliers’ performance score for training ANFIS to estimate the new suppliers’ performance. The proposed model implemented in a cosmetic industry, too.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: DEA; KAM; ANFIS; Suppliers’ Efficiency; prediction.
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 17 Jun 2015 01:59
Last Modified: 17 Jun 2015 01:59

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