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Abstract
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The purpose of this paper is to o er the equitable method for ranking Decision Making Units(DMUs)
based on the Dynamic Data Envelopment Analysis (DDEA) concept, where quasi- xed 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, rstly, we compute minimum
and maximum eciency values of each DMUs in dynamic state, under the assumption that the sum
of eciency values of all DMUs in dynamic state is equal to unity. Thus, with the combination of its
minimum and maximum eciency values, the rank of each DMUs is determined.
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