Title: A data envelopment analysis model for selecting suppliers in the presence of both dual-role factors and non-discretionary inputs

Authors: Abdollah Noorizadeh; Mahdi Mahdiloo; Reza Farzipoor Saen

Addresses: Department of Industrial Management, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, Finland. ' Institute for Integrated and Intelligent Systems, Griffith University, QLD 4111, Australia. ' Department of Industrial Management, Faculty of Management and Accounting, Islamic Azad University – Karaj Branch, P.O. Box 31485-313, Karaj, Iran

Abstract: Supplier selection is the strategy adopted by the manufacturer, to evaluate and select suppliers, which can fulfil the requirements of the manufacturer. To this end, data envelopment analysis (DEA), as a multiple criteria decision-making tool, has been applied for several times. However, conventional DEA models cannot simultaneously consider dual-role and non-discretionary factors. The objective of this paper is to propose a DEA model for ranking suppliers in the presence of both dual-role factors and non-discretionary inputs. A numerical example demonstrates the application of the proposed model.

Keywords: data envelopment analysis; DEA; supplier selection; dual-role factors; non-discretionary inputs; multicriteria decision making; MCDM; supply chain management; SCM.

DOI: 10.1504/IJIDS.2012.050380

International Journal of Information and Decision Sciences, 2012 Vol.4 No.4, pp.371 - 389

Published online: 09 Aug 2014 *

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