A new hybrid decision making system for supplier selection
RAIRO - Operations Research - Recherche Opérationnelle, Tome 50 (2016) no. 3, pp. 645-664.

The objective of this paper is to develop a hybrid decision making system using Data Envelopment Analysis (DEA) and linguistic fuzzy models for selecting the best supplier in the presence of multiple decision makers. In this hybrid system, first the weights of selected criteria are obtained from each of the decision makers as linguistic fuzzy numbers within the framework of group decision making. Then, to select the best supplier, absolute weight restriction (AWR) model is incorporated into the DEA model. A real case study demonstrates the application of the model.

Reçu le :
Accepté le :
DOI : 10.1051/ro/2015051
Classification : 90B50
Mots-clés : Supplier selection, group decision making, linguistic fuzzy number, DEA, absolute weight restriction model
Jassbi, J. 1 ; Farzipoor Saen, R. 2 ; Hosseinzadeh Lotfi, F. 1 ; Hosseininia, Sh. S. 1

1 Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Department of Industrial Management, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, Karaj, Iran.
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Jassbi, J.; Farzipoor Saen, R.; Hosseinzadeh Lotfi, F.; Hosseininia, Sh. S. A new hybrid decision making system for supplier selection. RAIRO - Operations Research - Recherche Opérationnelle, Tome 50 (2016) no. 3, pp. 645-664. doi : 10.1051/ro/2015051. http://www.numdam.org/articles/10.1051/ro/2015051/

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