大数据服务商参与下考虑生态设计和动态回收率的闭环供应链决策研究

Research on Closed-loop Supply Chain Decision-making Considering Ecological Design and Dynamic Recycling Rate Under the Participation of Big Data Service Providers

综合考虑生态设计与政府补贴,借助伊藤过程刻画动态变化的回收率,构建大数据服务商参与下的闭环供应链随机微分博弈模型,分析大数据服务商协助类型、服务费支付水平和政府补贴等参数对闭环供应链各成员决策和利润的影响。结果表明,所处环境不同时大数据服务商的最佳协助方式也不同;协助营销活动能有效刺激市场时,协助营销更能提升回收率、利润等;零售商和回收商合理分担大数据服务费可以促进闭环供应链的稳定;较回收补贴,生态设计补贴对零售价和批发价影响更显著,政府合理提高生态设计补贴更能提高闭环供应链整体利润。

This paper comprehensively considers ecological design and government subsidies, uses the Ito process to describe the dynamic recovery rate, builds a closed-loop supply chain stochastic differential game model with the participation of big data service providers, and analyzes the influence of parameters such as big data service provider assistance type, service fee payment level and government subsidy on the decision-making and profit of each member of the closed-loop supply chain. The results show that the best assistance methods of big data service providers are different in different environments;when assisting in marketing activities can effectively stimulate the market, assisting in marketing can increase recovery rates, profits, etc.;reasonable sharing of big data service fees between retailers and recyclers can promote the stability of closed-loop supply chains;compared with recycling subsidies, eco-design subsidies have a more significant impact on retail and wholesale prices, and a reasonable increase in eco-design subsidies by the government can increase the overall profit of the closed-loop supply chain.