Title: A developed model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in green supply chain

Authors: M.B. Fakhrzad; Saeid Nasrollahi

Addresses: Department of Industrial Engineering, Yazd University, Yazd, Iran ' Department of Industrial Engineering, Yazd University, Yazd, Iran

Abstract: This paper presents a developed model of data envelopment analysis-discriminant analysis (DEA-DA) for predicting group membership of green suppliers. This model accurately predicts group membership of the green suppliers in the presence of undesirable outputs. For demonstrating applicability of our proposed model, using a real-world dataset for evaluating green suppliers of the Hyundai Steel Company, the DEA-DA model developed by Boudaghi (2017) is analysed and compared with the new model. The results show that our developed model has more precise prediction of green suppliers' group membership with respect to considering undesirable outputs.

Keywords: data envelopment analysis-discriminant analysis; DEA-DA; undesirable outputs; efficiency; prediction of suppliers' group membership; green supply chain management; GSCM.

DOI: 10.1504/IJVCM.2018.095278

International Journal of Value Chain Management, 2018 Vol.9 No.4, pp.378 - 392

Received: 17 Mar 2018
Accepted: 28 Mar 2018
Published online: 02 Oct 2018 *

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