Title: A new Russell model for selecting suppliers

Authors: Majid Azadi; Amir Shabani; Reza Farzipoor Saen

Addresses: Faculty of Management and Accounting, Department of Industrial Management, Karaj Branch, Islamic Azad University, P. O. Box: 31485-313, Karaj, Iran ' Young Researchers and Elites Club, Science and Research Branch, Islamic Azad University, Tehran, Iran ' Faculty of Management and Accounting, Department of Industrial Management, Karaj Branch, Islamic Azad University, P.O. Box: 31485-313, Karaj, Iran

Abstract: Recently, supply chain management (SCM) has been considered by many researchers. Supplier evaluation and selection plays a significant role in establishing an effective SCM. One of the techniques that can be used for selecting suppliers is data envelopment analysis (DEA). In some situations, to select suitable suppliers, purchasing managers deal with undesirable outputs, dual-role factors and imprecise data. The objective of this paper is to propose a new Russell model for selecting the best suppliers in the presence of undesirable outputs, dual-role factors and imprecise data. A case study demonstrates the application of the proposed method.

Keywords: supplier selection; Russell measure; undesirable outputs; dual-role factor; imprecise data; Russell model; supply chain management; SCM; case study; data envelopment analysis; DEA.

DOI: 10.1504/IJISM.2014.064354

International Journal of Integrated Supply Management, 2014 Vol.9 No.1/2, pp.23 - 48

Received: 27 Mar 2013
Accepted: 08 Jan 2014
Published online: 19 Aug 2014 *

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