Title of article :
Sustainability Assessment of Supply Chains by Inverse Network Dynamic Data Envelopment Analysis
Author/Authors :
Kalantary ، Majid Department of Industrial Management - Islamic Azad University, Tehran Science and Research Branch , Farzipoor Saen ، Reza Department of Industrial Management - Islamic Azad University, Karaj Branch , Toloie Eshlaghy ، Abbas Department of Industrial Management - Islamic Azad University, Tehran Science and Research Branch
Abstract :
This paper focuses on assessing sustainability of supply chains. In this paper, at first, we propose network dynamic range adjusted measure (RAM) model. Then, inverse version of network dynamic RAM model is proposed. Our inverse network dynamic data envelopment analysis (DEA) model changes both inputs and outputs of decision-making units (DMUs) so that current efficiency scores of DMUs remain unchanged. We change inputs and outputs without any change in efficiency score of DMU under evaluation while inputs and outputs may have large ranges. A case study shows efficacy of our proposed model.
Keywords :
Sustainable supply chain management (SSCM) , Data envelopment analysis (DEA) , Range adjusted measure (RAM) , Inverse data envelopment analysis , Network DEA , Dynamic DEA
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)
