Intelligent Scheduling Algorithm Of Vehicle Logistics Research And Application

During the increase in the number of China’s auto consumption, business scaleof vehicle logistics industry is also gradually expanding. A growing number of ordersdistribution volume is coming to vehicle logistics companies and distribution centers.Obviously,the original scheduling ways have difficult to meet soaring demand forlogistics brought by increasing orders. Therefore, to improve the efficiency of vehiclelogistics process. Most of enterprises engaged in the establishment of vehicle logisticsintelligent scheduling system,They started to invest huge amounts to build theirvehicle logistics intelligent scheduling system to adapt business demands.In this paper, we set two-step process on the design of intelligent vehiclelogistics scheduling model: The first step using Clustering algorithm to built thecluster of orders, the second step, based on each cluster, using the greedy algorithmfor assembly design. The first step in the process of clustering, based on vehiclelogistics orders destination, built static initial customer groups,Then according todifferent attributes of orders, clustering each orders in initial client groups.Thesecond step using the greedy algorithm design assembly and goods vehicles loadingprograms.In the last article, using the above algorithm generated a scheduling scheme of anautomotive logistics company’s history order data. Then give a comparison betweenthe experimental amount and the actual amount of resource consumption, to provesreference value of the algorithm in this article.