Research On VRP Problem Under Two Joint Delivery Modes Considering Carbon Emissions

The national market economy has developed rapidly in recent years,and the logistics industry has made significant strides with the development of the real economy.The total revenue of the logistics industry has increased significantly.With the development of the logistics industry,some drawbacks have gradually emerged,one of which is the high cost of the logistics industry.Among the logistics costs,the problems of high transportation costs and low transportation efficiency need to be addressed urgently.Due to the emergence of this problem,various logistics enterprises need to put control and cost reduction on the agenda,in order to increase logistics economic benefits and reasonably plan vehicle transportation routes.The description of the multi distribution center problem is that each customer has a certain demand for goods,and there are multiple distribution centers providing distribution services to these customers at the same time.The core issue to be solved is to determine which distribution center to complete the service for each customer and reasonably arrange the path.The goal is generally set to minimize distribution time or minimize distribution costs.This paper studies the vehicle routing problem with multiple distribution centers,and establishes different optimization models based on this.The goal is to minimize the total cost.When studying transportation organization optimization problems,various cost saving measures in the transportation process will be considered.VRP is a NP difficult combinatorial optimization problem,which is generally defined as the core issue in transportation organization optimization.If traditional optimization algorithms are used,it is often difficult to meet the computational requirements.Therefore,this paper introduces genetic algorithms for calculation.First,this paper establishes three VRP models,namely,the traditional distribution model,the order-sharing joint distribution model,and the order-selecting joint distribution model.The objective function of the model is to minimize the total transportation costs.In addition,the carbon emission factor is added to the target function of the model,and the carbon tax cost model is constructed,and the carbon emission cost is directly added to the target function.Then,a calculation example is constructed,and the genetic algorithm is used to calculate the three models respectively,and the cost of each model is compared.Finally,the two modes of joint distribution are comprehensively compared,and the advantages and disadvantages of the two modes and the degree of adaptation to society are analyzed from various angles,and the conclusion is drawn.The experiment shows that the joint distribution mode can greatly save the transportation cost compared with the traditional distribution mode.At the same time,the comparison of the two joint distribution modes can help enterprises choose a more suitable mode and find a new idea for the future research of the joint distribution mode.