关键词: 可持续供应链, 进化算法, 多叉树, 自适应机制, 组合优化

Abstract: To further integrate sustainable development into the decision-making of supply chain network design in manufacturing industry and improve the effectiveness ofenterprise information resources in balancing the triple bottom line of sustainability,based on Corporate Information Transparency Index (CITI),a supply chain network model that globally coordinated economic benefits,environmental pollution and social responsibility was proposed,and an effective solution algorithm was researched.Based on eight indicators in the triple bottom line of sustainability,a mixed integer linear model was built for a multi-echelon,multi-product and multi-energy modal sustainable supply chain network,and a method for integrating multiple optimization objectives and setting the corresponding weights was explained.A multi-branch tree structure representation of the supply chain network was designed,and an adaptive multi-branch forest evolutionary algorithm was introduced,which could provide high solution quality by adjusting adaptively the parameters.The extensive experiments based on real-world data of manufacturing industry were carried out to verify the effectiveness and superiority of the proposed model and algorithm.The experimental results showed that the enterprise could reduce the carbon emissions by 17.67% by increasing the cost within 5%,the exhaust emissions by 10.54%,the water waste by 13.05% and the solid waste by 20.19%.

Key words: sustainable supply chain, evolutionary algorithm, multi-branch tree, adaptive mechanism, combinatorial optimization