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

Elahe Boudaghi, Reza Farzipoor Saen*

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

24 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةEnglish
الصفحات (من إلى)348-359
عدد الصفحات12
دوريةComputers and Operations Research
مستوى الصوت89
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يناير 2018

ASJC Scopus subject areas

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