Study On The Optimization Method Of Fresh Electric Business Logistics,Picking And Distribution

The rapid development of fresh e-commerce has provided a huge growth space and challenge for the fresh logistics industry.Fresh e-commerce supply logistics plays a key role as the source of fresh product logistics.With the increasingly fierce competition of fresh e-commerce and the individualization of market demands,fresh e-commerce suppliers are distributed all over the world,and the supply cost of fresh products remains high.It is imperative for post-graduate fresh e-commerce providers to supply logistics and distribution.Since its introduction,the circular picking model has been highly valued and concerned by e-commerce companies and the majority of scholars.Vehicle Routing Problem(VRP)and Vehicle Filling Problem(VFP)are the core issues for the optimization of fresh product cycle picking.However,current research seldom considers the three-dimensional loading constraints of fresh products.Only considering the cargo volume or quality constraints may make the goods unable to be loaded successfully.Therefore,this article comprehensively applies the knowledge of modern logistics management theory,automobile supply chain management theory,operations research,etc.,and uses the fresh electricity supplier supply logistics circulation picking as the research object,and the cycle of fresh product circulation under the constraints of three-dimensional loading The optimization problem is discussed and studied.The main research content is as follows:First of all,this article introduces the related theory of fresh product supply logistics,analyzes the operation flow and application status of the cyclical picking model in fresh product supply logistics,summarizes the difficulties and conditions in the implementation process of circular picking model.Secondly,the vehicle routing problem and the three-dimensional loading problem are analyzed.The actual vehicle path constraints and three-dimensional loading constraint conditions in the process of retrieving the cycle are considered.The optimization model of the part cycle picking path under three-dimensional loading constraints is constructed.Again,the algorithm of the model is designed,and the advantages and disadvantages of the genetic algorithm and the tabu search algorithm are comprehensively considered and the two are combined.This paper calls the vehicle loading inspection algorithm at the inner layer by calling the genetic taboo algorithm at the outer layer to ensure that the feasible solution route can be loaded successfully.Combining examples,using MATLAB software programming to solve the analysis of fresh product circulation in e-commerce companies,and obtaining the goods picking path and loading strategy,it provides a certain degree for the fresh e-commerce enterprises with logistics needs to implement product cycle collection.Scientific basis.Finally,the dissertation optimizes the logistics network distribution path of e-commerce companies.The e-commerce enterprise logistics network distribution route problem is regarded as the transport vehicle route problem(VRP),and a mathematical model of the two-level objective function with time cost as the first consideration and expense cost is established.Then the genetic algorithm solving method and steps are designed and applied.The genetic algorithm optimizes the logistics network distribution route for the fresh products of e-commerce companies and is implemented using Matlab software.