Dynamic Scheduling Simulation of Retail E-commerce Orders Based on RPA and Rolling Time Window
In order to improve the overall delivery efficiency of retail e-commerce orders,a dynamic scheduling method of retail e-commerce orders based on RPA and rolling time window is proposed.In the application layer logic end of RPA robot technol-ogy framework,this method decomposes the order into multiple order scheduling tasks in the way of rolling time window divi-sion through order scheduling priority sorting method based on rolling time window,and performs order priority sorting.Tak-ing the ordered order as the scheduling object of the joint dynamic scheduling method of order picking and distribution vehicles for retail e-commerce,the objective function of order dynamic scheduling with minimum order delivery time and all orders being delivered is constructed.From the perspective of order picking and distribution vehicle joint dynamic scheduling,an improved coevolutionary genetic algorithm is used to solve the joint dynamic scheduling scheme of order picking and distribution vehicles that meet the conditions.Experiments verify that under this method,when the retail e-commerce customer orders are deliv-ered,the delivery time is close to the lower bound of the customer's expected time window for the order products,and there is no order omission problem.All orders are efficiently picked and delivered.
RPA robotrolling time windowretail e-commerce orderdynamic schedulingorder pickingdistribution vehicle dispatching
万方数据
维普
