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Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains

机译:开发动态网络DEA模型的双前沿版本:评估供应链的可持续性

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摘要

Data envelopment analysis (DEA) is one of the techniques for assessing sustainability of supply chains. There have been raising interests in incorporating sustainability in supply chain operations. The objective of this article is to develop a dynamic network DEA (DNDEA) model for calculating both optimistic and pessimistic efficiency and effectiveness. Also, our proposed model can deal with undesirable outputs. Our model can rank sustainable supply chains in terms of optimistic and pessimistic efficiency and effectiveness. A case study demonstrates efficacy of our proposed model.
机译:数据包络分析(DEA)是评估供应链可持续性的技术之一。在将可持续性纳入供应链运营中,已经提高了兴趣。本文的目的是开发动态网络DEA(DNDEA)模型,用于计算乐观和悲观效率和有效性。此外,我们所提出的模型可以处理不良输出。我们的模型可以在乐观和悲观的效率和有效性方面排列可持续供应链。案例研究表明了我们所提出的模型的功效。

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