TY - JOUR
T1 - A novel SCOR approach to assess the sustainability of supply chains
AU - Saen, Reza Farzipoor
AU - Izadikhah, Mohammad
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/11/18
Y1 - 2022/11/18
N2 - Supply chain operations reference (SCOR) is an appropriate method for assessing supply chains. SCOR defines supply chains' stages as follows: plan, source, make, deliver, and return. To examine these phases in terms of economic, social, and environmental aspects, the SCOR model is incorporated into the sustainable supply chain management (SSCM) concept. Given that the case study deals with two-stage networks, i) a new network data envelopment analysis (NDEA) model is developed to evaluate the divisional and overall efficiencies of supply chains. ii) In this study, NDEA and SCOR models are used to evaluate the sustainability of supply chains. iii) Furthermore, to deal with the interval data, a new NDEA model is developed. Some theorems prove the capabilities of the proposed new model. iv) To assess the sustainability of supply chains, given the interval data, the objective of this paper is to develop an interval network directional distance function of inefficiency (INDDFI) model based on the SCOR framework. v) The preference-based approach for comparing the efficiency intervals is provided to present the final ranking. vi) The proposed method is applied to assess the sustainability of supply chains in the printing industry. vii) A sensitivity analysis of the results is presented. According to the sensitivity analysis, it is found that the activities in the Making Division have the highest effect on the whole network structure.
AB - Supply chain operations reference (SCOR) is an appropriate method for assessing supply chains. SCOR defines supply chains' stages as follows: plan, source, make, deliver, and return. To examine these phases in terms of economic, social, and environmental aspects, the SCOR model is incorporated into the sustainable supply chain management (SSCM) concept. Given that the case study deals with two-stage networks, i) a new network data envelopment analysis (NDEA) model is developed to evaluate the divisional and overall efficiencies of supply chains. ii) In this study, NDEA and SCOR models are used to evaluate the sustainability of supply chains. iii) Furthermore, to deal with the interval data, a new NDEA model is developed. Some theorems prove the capabilities of the proposed new model. iv) To assess the sustainability of supply chains, given the interval data, the objective of this paper is to develop an interval network directional distance function of inefficiency (INDDFI) model based on the SCOR framework. v) The preference-based approach for comparing the efficiency intervals is provided to present the final ranking. vi) The proposed method is applied to assess the sustainability of supply chains in the printing industry. vii) A sensitivity analysis of the results is presented. According to the sensitivity analysis, it is found that the activities in the Making Division have the highest effect on the whole network structure.
KW - Divisional efficiency
KW - Interval data
KW - Interval network directional distance function of inefficiency
KW - Network data envelopment analysis (NDEA)
KW - Supply chain operations reference (SCOR)
KW - Sustainable supply chain management
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U2 - 10.1007/s12063-022-00331-2
DO - 10.1007/s12063-022-00331-2
M3 - Article
AN - SCOPUS:85142223207
SN - 1936-9735
JO - Operations Management Research
JF - Operations Management Research
ER -