Assessing the sustainability of supply chains by dynamic network data envelopment analysis: a SCOR-based framework

Farhad Ebrahimi, Reza Farzipoor Saen*, Balal Karimi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)64039-64067
Number of pages29
JournalEnvironmental Science and Pollution Research
Issue number45
Publication statusPublished - Dec 2021


  • Dynamic network data envelopment analysis (DNDEA)
  • Free disposal hull (FDH)
  • SCOR
  • Sustainable supply chain management (SSCM)

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution
  • Health, Toxicology and Mutagenesis

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