Design And Implementation Of HL Logistics Enterprise Vehicle Intelligent Distribution System

For a long time,the problem of the high proportion of total social logistics cost to GDP in China has attracted wide attention,and the role of urban distribution in the entire logistics link has become increasingly important.How to improve the efficiency of urban distribution has become a key part of reducing the total cost of social logistics.This article takes the HL logistics company Xi'an Distribution Center as the research object.Through the actual investigation of the distribution center,it is found that its business processes need to be improved and the vehicle scheduling system has obvious defects.Before the distribution center distributes the orders,it will divide all orders first according to the order delivery address,and then distribute the orders for each partition independently,which makes it difficult to achieve a global optimal.At present,the main role of the vehicle distribution system is to manage basic data,and the lack of intelligent vehicle dispatching function leads to all vehicle distribution operations that need to be completed manually by the dispatcher based on work experience,so the delivery results are often unsatisfactory.These problems make the cost of the distribution center too high,and even the shortage of staff during the peak order period,and the phenomenon of redundant staff during the low order period.In this paper,firstly,studies the vehicle routing problem and its solution algorithm.Secondly,it analyzes the business status of the HL logistics company's Xi'an distribution center to establish a vehicle routing optimization model with the shortest travel distance of the distribution vehicle,and uses genetic algorithm to solve the model.While using Java language to implement genetic algorithm,open interface for vehicle intelligent distribution system to call.By analyzing the current status of the overall system of the distribution center,combined with the parameters required to call the genetic algorithm interface,the functional and non-functional requirements of the vehicle intelligent distribution system are analyzed,and then system functions and databases are designed according to system design goals and principles.In the process of developing the vehicle intelligent distribution system,JSP was used as the front-end display page,JavaScript was used as the front-end scripting language,and two popular front-end frameworks,jQuery and EasyUI,were used to assist development.The back-end of system is designed and developed based on Java language-based SSM architecture and MySQL database.In the end,the vehicle intelligent distribution system with intelligent loading as the core function was successfully developed.Based on the basic data management of the distribution center,the optimal vehicle distribution path was quickly and efficiently automatically generated.The actual order data of the day proves that the system can improve the distribution efficiency,reduce the distribution cost,and bring certain economic value to the enterprise.