Scale Size Based Ranking of Frontier DMUs in Data Envelopment Analysis

Data envelopment analysis (DEA) is basically a linear programming based technique used for measuring the relative performance of decision making units (DMUs), Where DMUs can be any organizational units (e.g. hospital, bank, etc.) transforming a number of inputs to a number of outputs. This paper proposes a new approach to ranking the efficient DMUs. This is a new perspective based on the concept of scale size and input consumption. The proposed approach distinguish between CCR and BCC efficient DMUs and so is applicable in both constant and variable returns to scale contexts. Likewise, this ranking method has the desirable feature of ranking not only the strongly efficient DMUs but the efficient ones as well, i.e. non-extreme efficient points