TY - GEN
T1 - An incentive-based supplier selection mechanism to support green supply chains
AU - Yu, Fang
AU - Xue, Lei
AU - Sun, Changyin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/27
Y1 - 2016/9/27
N2 - Supplier selection is an important decision for an enterprise to realize a sustainable production. However, almost all works, which concerned the environmental issues, focused on the supplier selection or evaluation methods, rather than the incentive mechanism urging the participants to improve their decisions (reduce the harm to the environment). In this paper, not only are the commercial factors (price, quantity, and lead time), but also the environment factors (green factors and carbon dioxide emissions) of the suppliers are considered during the selection. The determinations of the green factors and the total carbon dioxide emissions depend on the analysis of the history trade data. An incentive supplier selection mechanism, which urges the agents to improve their decisions to reduce the harm to the environment, is proposed. Numerical calculations are provided to verify the feasibility and the superiority of the proposed model.
AB - Supplier selection is an important decision for an enterprise to realize a sustainable production. However, almost all works, which concerned the environmental issues, focused on the supplier selection or evaluation methods, rather than the incentive mechanism urging the participants to improve their decisions (reduce the harm to the environment). In this paper, not only are the commercial factors (price, quantity, and lead time), but also the environment factors (green factors and carbon dioxide emissions) of the suppliers are considered during the selection. The determinations of the green factors and the total carbon dioxide emissions depend on the analysis of the history trade data. An incentive supplier selection mechanism, which urges the agents to improve their decisions to reduce the harm to the environment, is proposed. Numerical calculations are provided to verify the feasibility and the superiority of the proposed model.
UR - https://www.scopus.com/pages/publications/84991571376
U2 - 10.1109/WCICA.2016.7578517
DO - 10.1109/WCICA.2016.7578517
M3 - 会议稿件
AN - SCOPUS:84991571376
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 2175
EP - 2180
BT - Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th World Congress on Intelligent Control and Automation, WCICA 2016
Y2 - 12 June 2016 through 15 June 2016
ER -