TY - JOUR
T1 - Assessing sustainability of supply chains
T2 - An inverse network dynamic DEA model
AU - Kalantary, Majid
AU - Farzipoor Saen, Reza
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/9
Y1 - 2019/9
N2 - In this paper, we assess sustainability of supply chains by data envelopment analysis (DEA). DEA is a popular and beneficial method to assess efficiency of decision making units (DMUs). We introduce a network dynamic DEA model to assess sustainability of supply chains in multiple periods. Furthermore, we introduce an inverse network DEA model in dynamic context. Given results of case study, sustainable supply chains invest on triple bottom-lines of sustainability.
AB - In this paper, we assess sustainability of supply chains by data envelopment analysis (DEA). DEA is a popular and beneficial method to assess efficiency of decision making units (DMUs). We introduce a network dynamic DEA model to assess sustainability of supply chains in multiple periods. Furthermore, we introduce an inverse network DEA model in dynamic context. Given results of case study, sustainable supply chains invest on triple bottom-lines of sustainability.
KW - Dynamic data envelopment analysis
KW - Inverse data envelopment analysis
KW - Network data envelopment analysis
KW - Supply chain management
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85056845804&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056845804&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2018.11.009
DO - 10.1016/j.cie.2018.11.009
M3 - Article
AN - SCOPUS:85056845804
SN - 0360-8352
VL - 135
SP - 1224
EP - 1238
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -