TY - JOUR
T1 - Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain.
AU - Boudaghi, Elahe
AU - Farzipoor Saen, Reza
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2018/1
Y1 - 2018/1
N2 - 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.
AB - 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.
KW - BCC
KW - Data envelopment analysis–discriminant analysis (DEA–DA)
KW - Efficiency
KW - Prediction of suppliers' group membership
KW - Sustainable supply chain management
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U2 - 10.1016/j.cor.2017.01.006
DO - 10.1016/j.cor.2017.01.006
M3 - Article
AN - SCOPUS:85010282124
SN - 0305-0548
VL - 89
SP - 348
EP - 359
JO - Computers and Operations Research
JF - Computers and Operations Research
ER -
