Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain
Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain
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DOI：
10.1016/j.cor.2017.01.006
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Elahe Boudaghi;R. F. Saen
中科院分区：
文献类型：
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作者：
Elahe Boudaghi;R. F. Saen
本文的目的是提出一种新的数据包络分析-判别分析模型(DEA-DA)，用于预测可持续供应链环境下供应商的群体成员资格。我们的新模型可以根据每个供应商的投入、产出和效率等因素的性质来预测供应商的集团成员资格。为了验证这种新的DEA-DA模型的适用性，使用一个案例研究，分析了Sueyoshi(1999)提出的初始DEA-DA模型，并与我们提出的模型进行了比较。分析结果表明，新的DEA-DA模型能够更准确地预测可持续供应商的群体成员资格。
The objective of this paper is to present a novel model of data envelopment analysis–discriminant analysis (DEA–DA) for predicting group membership of suppliers in sustainable supply chain context. Our new model can predict group membership of the suppliers with respect to the nature of factors including inputs, outputs, and efficiency of each supplier. To demonstrate applicability of this new DEA–DA model, using a case study, the initial DEA–DA model developed by Sueyoshi (1999) is analyzed and compared with our proposed model. The results of the analysis show that our new DEA–DA model presents more precise prediction of sustainable suppliers' group membership.