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 Recovery Rate with Participation of Big Data Service Providers

摘要:

本文综合考虑了生态设计与政府补贴,借助伊藤过程刻画了动态变化的回收率,构建了大数据服务商参与下的闭环供应链随机微分博弈模型,分析了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。

Abstract:

Considering ecological design and government subsidies comprehensively, this paper uses the Ito process to characterize the dynamically changing recovery rate, constructs a stochastic differential game model of the closed-loop supply chain, the influence of parameters such as the assistance type and payment level of the big data service, and government subsidy on the members of the closed-loop supply chain is analyzed. Research shows that the best way to assist big data service providers is different when the environment is different; When assisting marketing activities can effectively stimulate the market, assisting marketing can improve the recovery rate, recovery effort level and profits, etc. Reasonable sharing of big data service fees between the retailer and the recycler can promote the stability of the closed-loop supply chain. Compared with recycling subsidy, ecological design subsidy has a more significant impact on retail and wholesale price, and a reasonable increase in the government"s ecological design subsidy can improve the overall profit of the closed-loop supply chain.