Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain

被引：30

作者：

Boudaghi, Elahe ^{[1
]}

Saen, Reza Farzipoor ^{[1
]}

机构：

[1] Islamic Azad Univ, Dept Ind Management, Karaj Branch, POB 31485-313, Karaj, Iran

来源：

COMPUTERS & OPERATIONS RESEARCH | 2018年 / 89卷

关键词：

Data envelopment analysis-discriminant analysis (DEA-DA); Efficiency; BCC; Prediction of suppliers' group membership; Sustainable supply chain management; DEA-DA; MANAGEMENT; PERFORMANCE;

D O I：

10.1016/j.cor.2017.01.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：348 / 359

页数：12

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