Abstract
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.
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Data Availability
The dataset was derived from the archives and documents of the companies that were analyzed.
Notes
References
APICS, S and Council, ASC (2017) SCOR framework.
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Farhad Ebrahimi worked on Sections 1 and 2. Reza Farzipoor Saen worked on analyzing the results and conclusions. He plays corresponding author role as well. Balal Karimi contributed to mathematical model section.
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Ebrahimi, F., Saen, R.F. & Karimi, B. Assessing the sustainability of supply chains by dynamic network data envelopment analysis: a SCOR-based framework. Environ Sci Pollut Res 28, 64039–64067 (2021). https://doi.org/10.1007/s11356-021-12810-3
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DOI: https://doi.org/10.1007/s11356-021-12810-3