A Comprehensive Study On Optimizing Vehicle Filling Problem And Vehicle Routing Problem In A Logistic Distribution Center

In recent years,the rapid development of electronic commerce has been a driving force in promoting change amongst most traditional industries in China.Consequently,the logistics industry has also entered into a development adjustment period resulting from this change.Most traditional logistics enterprises are reporting low profits due to the rapid development of high-tech enterprise competition,the high cost of transportation,storage,and distribution.So logistics market of health development need logistics distribution activities support,but because China distribution logistics distribution also exists more problem,as: logistics distribution efficiency low,and distribution resources waste serious and distribution cost high and other,effect has China logistics overall of development,so we should attention logistics distribution activities of development,distribution activities is enterprise and customer of important ties,which upgrade distribution service quality and logistics timeliness for distribution success of decisive factors.Two of the main challenges in the logistics distribution link are the Vehicle Filling Problem as well as the Vehicle Routing Problem.How to conduct joint optimization of VFP and VRP has become a hot topic for research in recent years.This paper will provide a comparative analysis of VFP and VRP and offer research and suggestions to optimize the relevant issues.The main research content is divided into following three sections:(1)Cargo logistics process analysis of vehicles equipped with delivery vehicle route planning to link mutual impact and mutual restriction factors between the two.(2)Identify the links between VFP and VRP,as well as the influencing factors.Vehicle goods and path optimization of the model respectively according actual distribution activities using VFP and VRP optimization models.Establishment of optimization model of VFP&VRP joint,in order to reduce the difficulty of solving,multiobjective optimization model for single-objective optimization model;(3)The vehicle cargo storage model design of improved genetic algorithm based on actual logistics distribution center related data to authenticate the model and algorithm.The research results of the study can be used to optimize the pack plan utilized within distribution centers and vehicle route arrangement.Through a comparison of the actual distribution scheme before and after,the analysis results show improvement in the vehicle route arrangement scheme.The number of vehicles needed,the total mileage,and the overall vehicle utilization improved.Vehicles equipped with plan and route optimization reduced the waste of logistics resources,effectively reducing the distribution costs,which validates the effectiveness of the model and algorithm suggested.