New methods for ranking decision making units based on the dispersion of weights and Norm 1 in Data Envelopment Analysis

One of the drawbacks of Data Envelopment Analysis (DEA) is the problem of lack of discrimination among efficient Decision Making Units (DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient DMUs is minimizing the Coefficient of Variation (CV) for inputs-outputs weights, which, was suggested by Bal et al. (2008). In this paper, we modify the model and introduce two new models for ranking efficient DMUs based on Norm 1 and using means of inputs-outputs weights. To illustrate purpose, numerical examples are given.

► We modified the model for ranking efficient DMUs, that was suggested by Bal, orkcu, and Celebioglu (2008).
► We introduce two new models for ranking efficient DMUs based on Norm 1.
► Also we use means and Coefficient of Variation of inputs-outputs for ranking of DMUs.
► For illustration purpose, numerical examples are given.
► By comparing results in examples, we will see some of methods have similar results.