The new results are comparing to the bank’s current situation and validating the use of the proposed DEA models for evaluating the technical efficiency. The appropriate assumptions are used in the model and the mathematical background, characteristics of DEA models and results are presented in the analysis. To measure the technical efficiency, two basic models of DEA are used under the satisfactory assumptions. DEA has ability to answer these questions “Which are the benchmarked branches?” and “What are the potential improvements for the inefficient branches?”. It has been widely used for performance appraisal and benchmarking. DEA is an important tool for evaluating and improving the efficiency of manufacturing and service operations. DEA is a linear programming technique that measuring the relative efficiency of a fairly homogeneous set of decision-making units (DMUs) and use of multiple inputs and outputs.
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