Design of a low carbon economy model by carbon cycle optimization in supply chain

Frontiers in Ecology and Evolution

Ecology and Evolution

Jingwen Ding¹ 

[1] null;

关键词: carbon emission reduction;    supply chain carbon optimization;    economy dispatch;    PSO optimization;    economic development;   

DOI  :  10.3389/fevo.2023.1122682

 received in 2022-12-13, accepted in 2023-02-16,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionConcerning economic globalization, enterprises must work with the cooperative partner to obtain more profits and overall planning of the supply chain has become a new focus for enterprise development. This paper studies the joint emission reduction of the supply chain in green low-carbon economy development and achieve joint emission and economic cost reduction through the optimization of carbon emission and economic dispatch.MethodsThe paper firstly uses the multi-agent model to complete the fullcycle modeling of carbon emission and economic cost; Secondly, the simulated annealing-adaptive chaos-particle swarm optimization (SAACPSO) method is used to optimize various parameters in the model to achieve emission and cost reductionResultsThe results show that after the optimization, the economic cost is reduced by 0.07 and the carbon emission is also reduced by 0.16; Finally, the practical test of the model is conducted with the collected data from the local company. The results show that the multi-objective optimization model of a joint enterprise supply chain is significantly better than single optimization in terms of emission reduction.DiscussionIt provides new ideas for a green economy and technical support for the global planning of supply chain integration.

【 授权许可】

Unknown   
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