New model for ranking DMUs in DDEA as a special ‎case

The purpose of this paper is to offer the equitable method for ranking decision making units(dmus) based on the dynamic data envelopment analysis (ddea) concept, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive periods. in fact, this paper originally makes the use of an approach extending the ranking of dmus in dea by khodabakhshi and aryavash into the dynamic dea framework. hence, firstly, we compute minimum and maximum effciency values of each dmus in dynamic state, under the assumption that the sum of effciency values of all dmus in dynamic state is equal to unity. thus, with the combination of its minimum and maximum effciency values, the rank of each dmus is determined