Prioritization method for frontier DMUs: A slack-based measure

In multi-dimensional cases, or if the number of observations is relatively small as compared to sum of number of inputs and outputs, running the DEA model will typically result in a relatively large number of efficient units. Prioritizing of these efficient units is an interesting subject. Several methods for prioritizing efficient units are reported in literature. The present paper, addresses a slack-based measure of super efficiency in data envelopment analysis.