Ebrahimi F, Saen RF, Karimi B. Assessing the sustainability of supply chains by dynamic network data envelopment analysis: a SCOR-based framework.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021;
28:64039-64067. [PMID:
33893584 DOI:
10.1007/s11356-021-12810-3]
[Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 02/01/2021] [Indexed: 06/12/2023]
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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