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运用动态网络数据包络分析评估供应链的可持续性:基于 SCOR 的框架。

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

机构信息

Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran.

Faculty of Business, Sohar University, Sohar, Oman.

出版信息

Environ Sci Pollut Res Int. 2021 Dec;28(45):64039-64067. doi: 10.1007/s11356-021-12810-3. Epub 2021 Apr 24.

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.

摘要

本文旨在通过提出一个存在区间数据的动态网络数据包络分析(DNDEA)模型来评估供应链的可持续性,因为在许多实际应用中,生产技术的凸性条件可能会被违反。为了解决这个问题,我们开发了一个基于自由处置壳(FDH)方法的 DNDEA 模型。本文首次在 SCOR 框架下开发了一个自由处置壳(FDH)模型的 DNDEA 版本。此外,我们还证明了该模型在评估供应链的可持续性时,其效率得分总是有限的。而且,使用这个模型可以计算实际的基准来提高不可持续的供应链的可持续性。我们给出了一个印刷行业的案例研究。结果验证了我们提出的模型。

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