Optimization Of Vehicle Path With Simultaneous Pickup And Delivery Base On Pinjun

With the rapid development of e-commerce,the volume of city express delivery is increasing day by day,and the demand for customers is diverse and complex,and the importance of distribution is prominent.In actual work,express delivery companies combine express delivery and pickup to improve efficiency,and optimization becomes the keyThis thesis studies the product optimization problem of the delivery vehicle at the same time.Firstly,through the investigation of e-commerce transaction volume,express delivery volume and express business income,the necessity of research on city express delivery is expounded.Pinjun Express has the characteristics of taking delivery at the same time,and outlines the distribution process,delivery mode and delivery mode.On this basis,the factors causing high distribution cost and long delivery time are analyzed.Secondly,considering the load of vehicle,the limitation of running distance,and the limitation of service time of outlets on the path of taking delivery vehicles at the same time,the construction is optimized with the minimum total system cost.The target includes the fixed cost,the running cost,the loading and unloading cost,and the time window deviating from the penalty cost.The delivery vehicle path optimization model is adopted,and the genetic algorithm is designed to optimize it.Finally,the Matlab language is used to implement the genetic algorithm programming of the model to Pinjun Express.For the simulation simulation,and compared with the single-single delivery mode,the results show that the delivery delivery mode is more advantageous at the same time.The research conclusions have certain reference significance for the courier enterprise to take the combined decision.