A novel SCOR approach to assess the sustainability of supply chains

Reza Farzipoor Saen*, Mohammad Izadikhah

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
JournalOperations Management Research
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Divisional efficiency
  • Interval data
  • Interval network directional distance function of inefficiency
  • Network data envelopment analysis (NDEA)
  • Supply chain operations reference (SCOR)
  • Sustainable supply chain management

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Management of Technology and Innovation

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