Volume 55, Number 3, May-June 2021
|Page(s)||1559 - 1578|
|Published online||11 June 2021|
Analyzing the efficiency of bank branches via novel weighted stochastic imprecise data envelopment analysis
Department of Industrial Engineering, The Yildiz Technical University, Istanbul, Turkey
Accepted: 20 April 2021
As of 21st century, the terms of efficiency and productivity have become notions which dwells on both business and academic world more frequently compared to past. It is known that it is hard to increase the efficiency and productivity of both production and service systems. In this study, the efficiency analysis of the branches of a bank was conducted. Furthermore, a Weighted Stochastic Imprecise Data Envelopment Analysis (WSIDEA), which is a new approach developed based on Data Envelopment Analysis (DEA), was proposed. Efficiency levels and results of decision-making units were examined according to the proposed new method. Additionally, six different DEA model results are obtained. The results of the six different DEA model and the proposed “WSIDEA” model were compared in terms of efficiency level of decision-making units, and the differences between them were examined.
Sensitivity of the inefficient units were also examined. On the other hand, unrealistic efficiency levels created by traditional methods for branches were also analyzed. Apart from all these sensitivity analyses, the sensitivity of the data set used in the analysis is scrutinized.
Mathematics Subject Classification: 90C08
Key words: Data Envelopment Analysis / Banking / Weighted Stochastic Imprecise Data Envelopment Analysis / Sensitivity Analysis
© The authors. Published by EDP Sciences, ROADEF, SMAI 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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