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2013 (Vol. 6, Issue: 03)
Article Information:

Performance Evaluation of Bank Branches using Data Envelopment Analysis and Analytical Hierarchy Process (AHP/DEA)

Younes Kholousi
Corresponding Author:  Younes Kholousi 

Key words:  Combined method of data envelopment analysis and hierarchical approach, data envelopment analysis, hierarchical approach, performance evaluation, , ,
Vol. 6 , (03): 529-536
Submitted Accepted Published
November 19, 2012 January 11, 2013 June 15, 2013
Abstract:

Performance evaluation is the evaluation and assessment process of the existing situation. It determines how to achieve good status with the specified criteria in a specific period of time with the goal of continuous improvement of the organization performance. Data Envelopment Analysis (DEA) is one of the most effective and popular ways to evaluate performance. The basic DEA model does not rank overall and only classifies the options into two groups: efficient and inefficient. However, over the past 10 years, many efforts have been made to classify the options completely with the DEA. This research is another effort to use the concept of DEA in a complete ranking of options by one of the most common methods of multi-criteria decision making, Analytical Hierarchy Process (AHP). AHP/DEA model which is investigated in this research is comprised of two stages. In this study, first the criteria are measured in comparison to each other and the paired comparisons matrix is obtained, using data envelopment analysis. Then, the most efficient branch is determined, using the Analytical Hierarchy Process. Performance evaluation of branches is carried out based on the input and output values. In this study, four input criteria (cost of movable property, labor costs, administrative costs and the number of branch personnel) and three output criteria (deposits, granted facilities and branch profits) are used to evaluate the efficiency of bank branches in the period of Aban 1384 until Day 1385 for sixteen bank branches in Iran's Sistan and Baluchistan province, using WinQSB and Expert Choice software and the AHP/DEA model. Results showed that the three branches Alavi, Central and Joushkaran have the ranks highest weight respectively. In addition, the results indicated that the method of AHP/DEA is an efficient method for evaluating the performance and can improve the weaknesses of traditional DEA method.
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  Cite this Reference:
Younes Kholousi, 2013. Performance Evaluation of Bank Branches using Data Envelopment Analysis and Analytical Hierarchy Process (AHP/DEA).  Research Journal of Applied Sciences, Engineering and Technology, 6(03): 529-536.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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