Title: A forecasting method in data envelopment analysis with group decision making

Authors: Reza Kiani Mavi, Ahmad Makui, Safar Fazli, Alireza Alinezhad

Addresses: Department of Industrial Management, Islamic Azad University (IAU), Science and Research Branch, Punak, Ashrafi Isfahani Highway, Tehran 14778-93855, Iran. ' Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Farjam Street, Tehran 16846-13114, Iran. ' Department of Industrial Management, Imam Khomeini International University (IKIU), Noruzian Street, Qazvin 34149-16818, Iran. ' Department of Industrial Engineering, Islamic Azad University (IAU), Qazvin Branch, Nokhbegan Street, Qazvin 34185-1416, Iran

Abstract: Service companies continually seek improved methods to measure the performance of their organisations because they are committed to improve efficiency and effectiveness in their operating units. Managers generally regard conventional methods inadequate. They struggle with the existing methodology as they are trying to implement the results obtained from such processes as performance ratios, regression analysis results and the like. DEA has proven itself to be both theoretically sound framework for performance measurement and an acceptable method by those being measured. In this paper, by combining group analytic hierarchy process (GAHP) into data envelopment analysis (DEA), a new approach for forecasting is developed. The efficiency of this approach is tested with application in bank branches. According to the results, this approach has more advantages over conventional methodologies.

Keywords: data envelopment analysis; decision making; forecasting; banking; service industries; performance measurement; effectiveness; efficiency; performance ratios; regression analysis; group analytical hierarchy process; GAHP; banks; applied management science.

DOI: 10.1504/IJAMS.2010.031084

International Journal of Applied Management Science, 2010 Vol.2 No.2, pp.152 - 168

Published online: 20 Jan 2010 *

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