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Mathematics > Optimization and Control

arXiv:2209.04822 (math)
[Submitted on 11 Sep 2022]

Title:Efficiency Evaluation of Banks with Many Branches using a Heuristic Framework and Dynamic Data Envelopment Optimization Approach: A Real Case Study

Authors:Vahid Kayvanfar, Hamed Baziyad, Shaya Sheikh, Frank Werner
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Abstract:Evaluating the efficiency of organizations and branches within an organization is a challenging issue for managers. Evaluation criteria allow organizations to rank their internal units, identify their position concerning their competitors, and implement strategies for improvement and development purposes. Among the methods that have been applied in the evaluation of bank branches, non-parametric methods have captured the attention of researchers in recent years. One of the most widely used non-parametric methods is the data envelopment analysis (DEA) which leads to promising results. However, the static DEA approaches do not consider the time in the model. Therefore, this paper uses a dynamic DEA (DDEA) method to evaluate the branches of a private Iranian bank over three years (2017-2019). The results are then compared with static DEA. After ranking the branches, they are clustered using the K-means method. Finally, a comprehensive sensitivity analysis approach is introduced to help the managers to decide about changing variables to shift a branch from one cluster to a more efficient one.
Comments: 22 pages, 4 figures, 11 tables
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG)
MSC classes: 68T09, 90C59, 91C20
ACM classes: E.m
Cite as: arXiv:2209.04822 [math.OC]
  (or arXiv:2209.04822v1 [math.OC] for this version)
  https://doi.org/10.48550/arXiv.2209.04822

Submission history

From: Frank Werner [view email]
[v1] Sun, 11 Sep 2022 09:43:52 UTC (634 KB)
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