Research On Logistics Distribution Optimization Model Of UAV Based On Uncertainty Theory

This paper combines UAV distribution with logistics network site selection model and proposes an optimization model of UAV logistics network based on reliability theory.Under the practical background of Jingdong UAV logistics and distribution,this paper presents firstly the optimization model of UAV parallel receiving sites location selection with the lowest total operating cost by selecting the appropriate receiving site on the premise of satisfying all demanders when the UAV is delivered from a distribution center to multiple parallel receiving sites for one consumption.On this basis,this paper proposes a site selection optimization model for UAV multiple receiving sites with the lowest total operating cost when UAV is delivered from a distribution center to multiple receiving sites.Then,in the case of emergency,when various land transportation modes are blocked and the demand of each operating receiving station is known,the UAV distribution is adopted and the minimum UAV distribution center is selected according to the principle of maximum coverage model to meet the demand of all consumers.In this paper,three kinds of location selection models for UAV logistics distribution are put forward,the optimal solution of the model is solved based on the reliability constraint method when there are uncertain factors,and the reliability of the model is demonstrated by numerical simulation.According to the three mathematical models and the numerical analys is,we give some suggestions on improving the efficiency of UAV logistics.Finally,this paper summarizes the main research results and innovation points,and also puts forward the future research direction of UAV logistics.