TY - JOUR
T1 - A novel bidirectional network data envelopment analysis model for evaluating sustainability of distributive supply chains of transport companies
AU - Fathi, Amirali
AU - Saen, Reza Farzipoor
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/5/20
Y1 - 2018/5/20
N2 - Applying a realistic and practical model to evaluate sustainable supply chains has been an intricate challenge for decision makers. All previous network data envelopment analysis (NDEA) models deal with unidirectional connections. In this paper, for the first time, we develop an NDEA model to deal with bidirectional connections. In addition, for the first time, bounded connections are taken into account. In bounded connections, certain bounds are set for each criterion. We assess sustainability of an Iranian transport company's branches. Our model can rank distributive supply chains and recommend improvement solutions.
AB - Applying a realistic and practical model to evaluate sustainable supply chains has been an intricate challenge for decision makers. All previous network data envelopment analysis (NDEA) models deal with unidirectional connections. In this paper, for the first time, we develop an NDEA model to deal with bidirectional connections. In addition, for the first time, bounded connections are taken into account. In bounded connections, certain bounds are set for each criterion. We assess sustainability of an Iranian transport company's branches. Our model can rank distributive supply chains and recommend improvement solutions.
KW - Backward connections
KW - Bidirectional connections
KW - Data envelopment analysis (DEA)
KW - Network DEA
KW - Sustainable supply chain management
KW - Sustainable transportation
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U2 - 10.1016/j.jclepro.2018.02.256
DO - 10.1016/j.jclepro.2018.02.256
M3 - Article
AN - SCOPUS:85044853265
SN - 0959-6526
VL - 184
SP - 696
EP - 708
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -