Author/Authors :
Rao, C. School of Science - Wuhan University of Technology, Wuhan, China , Wang, C. School of Mathematics and Economics - Hubei University of Education, China , Hu, Z. College of Automation - Wuhan University of Technology, Wuhan, China , Meng, Y. School of Science - Wuhan University of Technology, Wuhan, China , Liu, M. School of Science - Wuhan University of Technology, Wuhan, China
Abstract :
Green supply chain management is a crucial challenge for the sustainable
development of enterprises. This study investigates the problem of supplier selection for the
multi-attribute and multi-source green procurement of electric coal under fuzzy information
environment. Concretely, a new index system of supplier selection is established by
considering both the economic and environmental factors; then, a multi-attribute decisionmaking
method based on 2-tuple deviation degree is presented to rank all alternative
suppliers in the green procurement of electric coal. The implementation, availability, and
feasibility of the green procurement decision method of electric coal are also highlighted
by using an example of the multi-source procurement of electricity coal. An attempt is
made to provide a theoretical basis and decision-making reference for the thermal power
enterprise to implement scientic green procurement management of electric coal.
Keywords :
Electric coal , Multi-attribute and multi-source procurement , Supplier selection , Linguistic fuzzy variable , 2-tuple , 2-tuple deviation degree