Generalized Super Efficiency Model for Ranking Efficient Decision Making Units in Data Envelopment Analysis

Abstract: In evaluating decision making units (DMU's) by using Data Envelopment Analysis (DEA) technique, we encounter the situation in which more than one unit takes efficiency score of one. In such a case, some criteria should be considered to rank the DMU's. Some efficient techniques such as AP, MAJ,etc may be used in this way. For some sets of data, with special structure in models that above mentioned, may be infeasible and unstable. In this paper, a new model is developed that all the existing drawbacks of previously applied models remove. Some numerical examples are put forward

Role of flexible data in evaluation productivity and cost efficiency using data envelopment analysis

In decision management science, recognizing the inputs and outputs of an organization is very important to evaluate its performance. In particular, it becomes more important when costs are incurred for the organization's inputs. In this paper, we evaluate the cost efficiency of a set of decision-making units (DMUs) so that some of its indices can appear as flexibly in the input or output role. Since, if flexible indices are evident in the input index, then they play an important role in costs, it will be important to identify the performance of the units. However, in this paper, using data envelopment analysis (DEA) models, we determine the cost efficiency and productivity of a set of decision-making units with multiple inputs and multiple outputs in the presence of flexible indices. Finally, we present an example that shows the effect of the flexible index on cost efficiency, and also with an application example, we will determine the cost efficiency and productivity of 40 branches of the banks. The obtained result is compared with one of the other methods