A new model for suppliers ranking in the presence of both dual‐role factors and undesirable outputs

A new model for suppliers ranking in the presence of both dual‐role factors and undesirable outputs

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Article ID: iaor20135161
Volume: 15
Issue: 1
Start Page Number: 93
End Page Number: 107
Publication Date: Apr 2013
Journal: International Journal of Logistics Systems and Management
Authors: , ,
Keywords: statistics: data envelopment analysis
Abstract:

Supplier selection with its proved importance on the successes of the buyer company is given a careful attention in the academic and real world applications. Due to the multiple criteria nature of the supplier selection problem, multiple criteria decision making (MCDM) tools like data envelopment analysis (DEA) are frequently used. However, analysts may face some criteria (e.g., undesirable outputs and dual‐role factors) which cannot be modelled in a normal way in DEA. The objective of this paper is to discuss these issues in supplier selection context and consider them in a single model. Moreover, the final supplier selection model of this paper is run with a virtual decision making unit (DMU) which dominate other DMUs. The presence of such a DMU increases discrimination power of the model.

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