Sharif University of Technology Scientia Iranica 1026-3098 25 6 2018 12 01 Sustainability Assessment of Supply Chains by Inverse Network Dynamic Data Envelopment Analysis 3723 3743 20017 10.24200/sci.2017.20017 EN Majid Kalantary Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran Reza Farzipoor Saen Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran Abbas Toloie Eshlaghy Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran Journal Article 2017 02 10 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. https://scientiairanica.sharif.edu/article_20017_61460531b49eca5c3a5b3bde16ef29cf.pdf