考虑智选与续航努力的新能源汽车供应链协调研究OACHSSCD
Research on supply chain coordination of new energy vehicles considering intelligent selection and driving range effort
针对新能源汽车供应链中智选方案供应商存在智选努力激励不足的问题,以单一智选方案供应商和单一新能源汽车制造商组成的二级供应链为研究对象,构建Stackelberg博弈模型,分析智选方案供应商主导且负责销售的分散式决策、集中式决策以及成本分担契约下,新能源汽车最优智选努力水平、最优续航努力水平以及供应链成员最优利润.研究表明:不同决策下,新能源汽车最优智选努力水平、最优续航努力水平以及供应链成员最优利润,均与消费者智能化关切度、消费者续航关切度正相关;在一定的分担比例下,成本分担契约能够实现新能源汽车供应链的帕累托改进.研究结论为提高消费者对新能源汽车的智能化关切度与续航关切度,促使供应链成员加大智能化研发投入力度,推动新能源汽车产业持续健康发展提供参考.
Aiming at the issue of insufficient incentive for intelligent selection effort among suppliers in the new energy vehicle supply chain,this study focuses on a two-tier supply chain composed of an intelligent selection supplier and a new energy vehicle manufacturer.Constructing the Stackelberg game model,it analyzes the optimal intelligent selection effort,optimal driving range effort,and the optimal profits of supply chain members under decentralized decision-making where the supplier leads and is responsible for sales,centralized decision-making and cost-sharing contract decision-making.The research findings indicate that under different decision-making,the optimal intelligent selection effort,optimal driving range effort,and the optimal profits of supply chain members are positively correlated with consumers'intelligence concern and driving range concern.Within a certain cost-sharing ratio range,cost-sharing contract can achieve Pareto improvement in the new energy vehicle supply chain.The conclusions provide insights for enhancing consumers'intelligence and driving range concern regarding new energy vehicles,guiding supply chain members to increase investment in intelligent selection research and development,and promoting the sustained and healthy development of the new energy vehicle industry.
戴道明;袁莉莉;刘飞扬
安徽财经大学 管理科学与工程学院,安徽 蚌埠 233030安徽财经大学 管理科学与工程学院,安徽 蚌埠 233030安徽财经大学 管理科学与工程学院,安徽 蚌埠 233030
管理科学
智选努力续航努力新能源汽车供应链协调成本分担
intelligent selection effortdriving range effortnew energy vehiclessupply chain coordinationcost-sharing
《辽宁工程技术大学学报(社会科学版)》 2026 (5)
386-395,10
安徽省高校自然科学研究重大项目(2023AH040045)
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