Optimization Of Cold Chain Logistics Vehicle Distribution Route Under The Background Of Carbon Trading With Uncertain Demand

In recent years,with the improvement of science and technology,e-commerce has developed by leaps and bounds,the demand for public life is gradually increasing,and the demand for cold chain products is also increasing.However,in the process of storage and distribution,cold chain logistics will produce extremely high energy consumption and carbon emissions,which has a great adverse impact on the environment.In order to solve this problem effectively,we have established carbon emission trading mechanism,and strive to make enterprises realize energy saving and emission reduction through this move.At the same time,in daily life,the demand of customer points is often uncertain under the influence of seasonal and other factors,and the distribution center cannot obtain the actual demand in time,resulting in the error of distribution quantity,which greatly reduces the customer satisfaction and affects the reputation of enterprises.In this context,on the basis of existing studies,this paper intends to deeply explore the influencing factors of carbon trading and uncertain demand on cold chain distribution decision-making,and construct the optimal allocation model of cold chain logistics vehicle distribution route based on carbon trading and uncertain demand,so as to make scientific decisions for cold chain logistics decision makers and improve their returns,and standardize and guide them for market regulators.To achieve the purpose of economic and social win-win.This paper firstly reviews the research status at home and abroad on carbon trading and demand uncertainty in the context of cold chain logistics,and focuses on cold chain logistics distribution with uncertain demand in the context of carbon trading.The optimization model of cold chain logistics vehicle distribution route under the background of carbon trading was constructed,and then the demand uncertainty model under the background of carbon trading was established based on the idea of robust optimization.The objective function of the minimum distribution cost of cold chain logistics was designed,and constraints such as vehicle transport capacity and delivery time were also taken into account.Secondly,this paper selects genetic algorithm to solve the model,describes the genetic algorithm design process in detail,and carries on the example analysis based on the data and scenarios in Solomon’s example library,obtains the optimal distribution scheme and the cost of each part,and compares it with the traditional demand determination situation.It is found that if retailers continue to deliver goods according to certain demand conditions after demand fluctuations,the total volume of the distribution route will exceed the maximum carrying capacity of the refrigerated fuel oil truck when the demand is at its maximum,and then another refrigerated fuel oil truck will be arranged for distribution.After the demand uncertainty model is established based on robust optimization idea,no matter how the demand changes,The optimal path in the case of maximum demand remains viable.Finally,with carbon trading quota and carbon trading price as the core,sensitivity analysis was carried out to reveal the mechanism of carbon trading quota and carbon trading price and other factors on the cold chain transportation behavior in China,providing a basis for relevant departments to formulate reasonable carbon quota and carbon trading price and other related policies.