Title: Managerial goals directed benchmarking for organised efficiency in data envelopment analysis

Authors: Mohammad Khoveyni; Robabeh Eslami

Addresses: Department of Applied Mathematics, College of Basic Sciences, Yadegar-e-Imam Khomeini (RAH) Branch, Islamic Azad University, Tehran, Iran ' Department of Mathematics, Faculty of Basic Science, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract: Recognition of benchmarking for decision making units (DMUs) contains a key component of future planning. For this reason, in this research, we investigate an enriched form of data envelopment analysis (DEA) that is linked to managers' future planning goals. We need to mention that top managers' goals are deemed for a long time. In this study, a DEA approach is presented to find benchmark of DMUs with imposed inputs. In our proposed approach, it is assumed that some inputs have been imposed on the target decision making unit (DMU) by allocation from higher levels of management or by history. A goal programming structure is used by a new model for exploring points on the efficient frontier that they are realistically achievable by DMUs. Lastly, we apply the model to real world dataset then some conclusions are drawn and also directions for future research are suggested.

Keywords: data envelopment analysis; DEA; returns to scale; RTS; multicriteria decision making; MCDM; goal programming; efficiency; benchmarking; managerial goals; decision making units; DMUs.

DOI: 10.1504/IJIDS.2016.075787

International Journal of Information and Decision Sciences, 2016 Vol.8 No.1, pp.1 - 23

Received: 21 Mar 2014
Accepted: 10 Oct 2014

Published online: 05 Apr 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article