A framework for performance evaluation of energy supply chain by a compatible network data envelopment analysis model

Inadequate supply of energy has become one of the major problems in societies due to consumers' increasing demand. economic growth is a key reason for the increase in the energy consumption. although different policies can be employed for resolving this problem, optimizing the efficiency of energy suppliers can be addressed as a key policy in this regard. this paper presents an adjusted network data envelopment analysis (ndea) model for evaluating performance of energy supply chain in iran from production to distribution stages. some suggestions have been proposed to optimize the performance of the energy supply chain. the ndea model is adjusted by using assurance region (ar) to achieve more realistic and scientic results. borders of the assurance region obtained from data envelopment analytic hierarchy process (deahp) method are entered into the ndea model. the results obtained from this model are compared with those of conventional ndea and technical efficiency in pairs. finally, the spearman and kendall's-tau correlation tests are used for validating the results.