Designing A Hybrid Data Envelopment Analysis Model With Weight Constraints For Performance Evaluation And Ranking Of Bank Branches (A Case Study: Selected Branches of One of the Iranian Banks)

The objective of current study is to present an integrated model for efficiency evaluation and ranking of bank branches based on three well-known Fuzzy methods, Decision Making Trial and Evaluation Laboratory, Analytical Network Process and Data Envelopment Analysis with the weight constraints. In this study nine criteria are selected for efficiency evaluation of bank branches.Then, first DEMATEL computes Inner Dependence Matrix for selected criteria while ANP derives the weights of each criterion related with bank branches efficiency evaluation problem. These weights have been used to construct the weight constraints in DEA model and Prevents zero weight of input and output variables. Therefore the relative weight is observed in all branches and solve the problem of non-observance of the weight of variables in the DEA model. At the end , in this study Anderson & Peterson (AP) model is used for ranking of the efficient branches.The application of integrated model is demonstrated with a case study and efficiency evaluation of 30 branches of Selected branches of one of the Iranian banks for the Three-year period. The findings showed that with the use of the weight constraints, ranking of branches would differ and the discriminatory power of DEA model would increase.