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Evaluating the efficiency of organizations and branches within anorganization is a challenging issue for managers. Evaluation criteria alloworganizations to rank their internal units, identify their position concerningtheir competitors, and implement strategies for improvement and developmentpurposes. Among the methods that have been applied in the evaluation of bankbranches, non-parametric methods have captured the attention of researchers inrecent years. One of the most widely used non-parametric methods is the dataenvelopment analysis (DEA) which leads to promising results. However, thestatic DEA approaches do not consider the time in the model. Therefore, thispaper uses a dynamic DEA (DDEA) method to evaluate the branches of a privateIranian bank over three years (2017-2019). The results are then compared withstatic DEA. After ranking the branches, they are clustered using the K-meansmethod. Finally, a comprehensive sensitivity analysis approach is introduced tohelp the managers to decide about changing variables to shift a branch from onecluster to a more efficient one.

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