Measuring Performance of Network Structure by DEA-R Model

摘要

Data envelopment analysis (DEA) is a well-Known method in efficiency evaluation of a set of decision making units (DMUs) such as organizations and banks. An advantage of DEA technique is selection of weights at random. Weight selection is of crucial importance in efficiency evaluation. In this regard, it is important to employ models that have more freedom in selecting weights. One such model is the ratio based DEA (DEA-R) model, which avoids efficiency underestimation. In this paper, we present a new DEA-R-based model and calculate network efficiency. We show that this new model is more suitable compared to previous models, as the scores obtained by this model for overall efficiency and the efficiencies for individual components are greater than or equal to those obtained by previous models.