Research On Dynamic Optimal Allocation Strategy Of Idle Resources In Supply Chain Based On Sharing Platform

In order to innovate new growth points in the fields of green low-carbon and sharing economy and promote the formation of new impetus for economic development,the sharing economy with the development concept of “innovation,coordination,green,openness and sharing” has become a new growth field.Under the background of the rapid development of market demand and Internet technology,its field has been expanding,gradually shifting to the upstream of the supply chain,from the consumer link to the production chain,and is extending to the whole supply chain.According to the concept of “sharing economy”,any idle resources in the supply chain have residual value and can realize their sharing value.The sharing supply chain can be seen as a subdivision of the sharing economy,which is essentially the reallocation of idle resources in the supply chain.However,how to reallocate the idle resources in the supply chain to achieve sharing and improve resource utilization is a new problem faced by enterprises in the sharing supply chain.Considering the dynamics matching process of the supply chain idle resource based on sharing platform,this paper studies the dynamic optimal allocation of supply chain idle resources by using differential game theory and optimal control theory.The specific research contents are as follows.First,an optimal allocation strategy for a three-level supply chain system consisting of supply chain idle resource suppliers,sharing platforms and demanders is studied.The optimal allocation model of sharing supply chain idle resources under centralized decision-making,independent(non-subsidized)decentralized decision-making and decentralized decision-making of incentives for demand-side subsidies are established respectively.The corresponding HamiltonJacobi-Bellman equation(HJB)equation is constructed to solve and analyze the optimal matching effort of resource suppliers,sharing platforms and demanders in three situations,the optimal trajectory of the total amount of idle resources sharing by the supply chain,and the total Profit.Through the analysis of an example of the model,discuss the impact of platform commissions and fees charged by suppliers on the optimal allocation strategy of supply chain sharing idle resources,and give the management significance and enlightenment of this research.Secondly,the problem of resource matching ratio of three-level supply chain system composed of several sharing supply chain idle resource participants in different time is studied.Under the sharing supply chain resource model,the resources of multiple enterprises are integrated together.From the perspective of system profit,the sharing ratio is used as the control variable and system.The dynamic optimization configuration model with the largest profit is the decision target,and uses the maximum principle to solve the optimal resource allocation ratio in each time period.The model is analyzed and analyzed.The influence of resource matching cost coefficient and platform revenue conversion coefficient on the allocation ratio is discussed,which provides theoretical guidance for the operation and management of each participant.The research results show that under the condition that the supply chain idle resources are shared by a single supplier and a single demander,the subsidy mechanism can increase the enthusiasm of the supply chain idle resource demand side under certain conditions,and increase the profit of each participant in the supply chain to achieve Pareto improvements in the sharing supply chain.When there are multiple suppliers and demanders sharing supply chain idle resources,reducing the matching cost coefficient or increasing the platform revenue conversion coefficient is beneficial to increase the proportion of resource sharing.