Title: An application of multi-component ranking in banks by context-dependent DEA for non-extreme efficient DMUs

Authors: Farhad Hosseinzadeh Lotfi; G.R. Jahanshahloo; M. Vaez-ghasemi; Z. Moghaddas

Addresses: Department of Mathematics, Islamic Azad University, Science and Research Branch, Hesarak St., Ashrafi Esfahani St., Tehran, Iran ' Department of Mathematics, Teacher Training University, Hesarak, Karaj, Iran ' Department of Mathematics, Islamic Azad University, Science and Research Branch, Hesarak St., Ashrafi Esfahani St., Tehran, Iran ' Department of Electrical, Computer and Biomedical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran

Abstract: In most applications of data envelopment analysis (DEA) presented in the literature, the models are designed to acquire a single measure of efficiency. However in many instances, the decision making units (DMUs) can be separated into different components. This paper deals with ranking in DEA analysis of multi-component decision making units (DMUs). Using DEA technology, we first show how efficiency of each unit and its components can be obtained then from a practical viewpoint the issue of ranking multi-component decision making units will be discussed. The significant feature of this method is that it does not have much to do with theoretical concepts and it is has been mostly taught over for applicational issues.

Keywords: data envelopment analysis; DEA; multi-component DMUs; decision making units; DMU ranking; banks; bank DMUs; banking industry; efficiency.

DOI: 10.1504/IJOR.2013.056113

International Journal of Operational Research, 2013 Vol.18 No.2, pp.171 - 187

Received: 14 Feb 2012
Accepted: 10 Jul 2012
Published online: 29 Jul 2014 *

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