TY - JOUR
T1 - Assessing the sustainability of supply chains by dynamic network data envelopment analysis
T2 - a SCOR-based framework
AU - Ebrahimi, Farhad
AU - Saen, Reza Farzipoor
AU - Karimi, Balal
N1 - Funding Information:
Authors would like to appreciate constructive comments of Reviewer.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/12
Y1 - 2021/12
N2 - The objective of this paper is to assess the sustainability of supply chains by proposing a dynamic network data envelopment analysis (DNDEA) model in the presence of interval data, due to the fact that in many real-world applications, the condition of convexity in the production technology might be violated. To prevent this issue, a DNDEA model based on the free disposal hull (FDH) approach is developed. For the first time, this paper develops a DNDEA version of the free disposal hull (FDH) model in the context of the SCOR framework. It is also shown that this model always presents a finite efficiency score for assessing the sustainability of supply chains. Moreover, using this model, real benchmarks can be calculated to improve the sustainability of unsustainable supply chains. A case study in print industry is given. The results validate our proposed model.
AB - The objective of this paper is to assess the sustainability of supply chains by proposing a dynamic network data envelopment analysis (DNDEA) model in the presence of interval data, due to the fact that in many real-world applications, the condition of convexity in the production technology might be violated. To prevent this issue, a DNDEA model based on the free disposal hull (FDH) approach is developed. For the first time, this paper develops a DNDEA version of the free disposal hull (FDH) model in the context of the SCOR framework. It is also shown that this model always presents a finite efficiency score for assessing the sustainability of supply chains. Moreover, using this model, real benchmarks can be calculated to improve the sustainability of unsustainable supply chains. A case study in print industry is given. The results validate our proposed model.
KW - Dynamic network data envelopment analysis (DNDEA)
KW - Free disposal hull (FDH)
KW - SCOR
KW - Sustainable supply chain management (SSCM)
UR - http://www.scopus.com/inward/record.url?scp=85105230555&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105230555&partnerID=8YFLogxK
U2 - 10.1007/s11356-021-12810-3
DO - 10.1007/s11356-021-12810-3
M3 - Article
C2 - 33893584
AN - SCOPUS:85105230555
SN - 0944-1344
VL - 28
SP - 64039
EP - 64067
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 45
ER -
