TY - JOUR
T1 - Developing a new chance constrained NDEA model to measure performance of sustainable supply chains
AU - Izadikhah, Mohammad
AU - Azadi, Elnaz
AU - Azadi, Majid
AU - Farzipoor Saen, Reza
AU - Toloo, Mehdi
N1 - Funding Information:
The authors would like to thank two anonymous Reviewers for their insightful and constructive comments and suggestions. Furthermore, the fifth author would like to appreciate Czech Science Foundation (GAČR 19-13946S) for the supports.
Publisher Copyright:
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PY - 2020/8/27
Y1 - 2020/8/27
N2 - Owing to the increasing importance of sustainable supply chain management (SSCM), it has received much attention from both corporate and academic over the past decade. SSCM performance evaluation plays a crucial role in organizations success. One of the practical techniques that can be used for SSCM performance assessment is network data envelopment analysis (NDEA). This paper develops a new NDEA for performance evaluation of SSCM in the presence of stochastic data. The proposed model can evaluate the efficiency of SSCM under uncertain conditions. A case study in the soft drinks industry is presented to demonstrate the efficacy of the proposed method.
AB - Owing to the increasing importance of sustainable supply chain management (SSCM), it has received much attention from both corporate and academic over the past decade. SSCM performance evaluation plays a crucial role in organizations success. One of the practical techniques that can be used for SSCM performance assessment is network data envelopment analysis (NDEA). This paper develops a new NDEA for performance evaluation of SSCM in the presence of stochastic data. The proposed model can evaluate the efficiency of SSCM under uncertain conditions. A case study in the soft drinks industry is presented to demonstrate the efficacy of the proposed method.
KW - Data envelopment analysis (DEA)
KW - Network DEA (NDEA)
KW - Performance measurement
KW - Stochastic network DEA
KW - Sustainable supply chain management (SSCM)
UR - http://www.scopus.com/inward/record.url?scp=85089866241&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85089866241&partnerID=8YFLogxK
U2 - 10.1007/s10479-020-03765-8
DO - 10.1007/s10479-020-03765-8
M3 - Article
AN - SCOPUS:85089866241
SN - 0254-5330
VL - 316
SP - 1319
EP - 1347
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 2
M1 - 2
ER -
