On the relative eciency in general network structures

Data envelopment analysis (dea) is an eciency measurement tool for evaluation of similar decisionmaking units (dmus). in dea, weights are assigned to inputs and outputs and the absolute eciencyscore is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. in traditionaldea models, this measure is also equivalent with relative eciency score which evaluates dmus incompare with the most ecient dmu. recently network dea models are appeared in the literature,which try to assess dmus regarding their internal production divisions and intermediate products. inthis paper we compare absolute and relative eciency scores in network framework. since in networkdea models, an ecient dmu does not exist necessarily, the relative eciency model helps us tohave at least one ecient dmu in our assessments.