TY - JOUR
T1 - A novel network data envelopment analysis model for evaluating green supply chain management
AU - Mirhedayatian, Seyed Mostafa
AU - Azadi, Majid
AU - Farzipoor Saen, Reza
PY - 2014/1
Y1 - 2014/1
N2 - Green supply chain management (GSCM) has become a method to improve environmental performance. Under stakeholder pressures, forces and regulations, companies need to improve the GSCM practice, which are effected by practices such as green purchasing, green design, product recovery, and collaboration with patrons and suppliers. As companies promote the GSCM, their economic performance and environmental performance will be enhanced. Hence, GSCM evaluation is very important for any company. One of the techniques that can be used for evaluating GSCM is data envelopment analysis (DEA). Traditional models of data envelopment analysis (DEA) are based upon thinking about production as a "black box". One of the drawbacks of these models is to omit linking activities. The objective of this paper is to propose a novel network DEA model for evaluating the GSCM in the presence of dual-role factors, undesirable outputs, and fuzzy data. A case study demonstrates the application of the proposed model. A case study demonstrates the applicability of the proposed model.
AB - Green supply chain management (GSCM) has become a method to improve environmental performance. Under stakeholder pressures, forces and regulations, companies need to improve the GSCM practice, which are effected by practices such as green purchasing, green design, product recovery, and collaboration with patrons and suppliers. As companies promote the GSCM, their economic performance and environmental performance will be enhanced. Hence, GSCM evaluation is very important for any company. One of the techniques that can be used for evaluating GSCM is data envelopment analysis (DEA). Traditional models of data envelopment analysis (DEA) are based upon thinking about production as a "black box". One of the drawbacks of these models is to omit linking activities. The objective of this paper is to propose a novel network DEA model for evaluating the GSCM in the presence of dual-role factors, undesirable outputs, and fuzzy data. A case study demonstrates the application of the proposed model. A case study demonstrates the applicability of the proposed model.
KW - Dual-role factors
KW - Fuzzy set
KW - Green supply chain management (GSCM)
KW - Network data envelopment analysis (NDEA)
KW - Undesirable outputs
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U2 - 10.1016/j.ijpe.2013.02.009
DO - 10.1016/j.ijpe.2013.02.009
M3 - Article
AN - SCOPUS:84889631627
SN - 0925-5273
VL - 147
SP - 544
EP - 554
JO - International Journal of Production Economics
JF - International Journal of Production Economics
IS - PART B
ER -