TY - JOUR ID - 20017 TI - Sustainability Assessment of Supply Chains by Inverse Network Dynamic Data Envelopment Analysis JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Kalantary, Majid AU - Farzipoor Saen, Reza AU - Toloie Eshlaghy, Abbas AD - Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran AD - Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran Y1 - 2018 PY - 2018 VL - 25 IS - 6 SP - 3723 EP - 3743 KW - Sustainable supply chain management (SSCM) KW - Data envelopment analysis (DEA) KW - Range adjusted measure (RAM) KW - Inverse data envelopment analysis KW - Network DEA KW - Dynamic DEA DO - 10.24200/sci.2017.20017 N2 - 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. UR - https://scientiairanica.sharif.edu/article_20017.html L1 - https://scientiairanica.sharif.edu/article_20017_61460531b49eca5c3a5b3bde16ef29cf.pdf ER -