B2C E-commerce Based On Low-carbon Environment VRP Research

With the increasing pressure of resource depletion and environmental pollution,enterprises and even the country must carry out sustainable development.The trend of global warming has attracted the attention of low carbon logistics.In this context,the electronic commerce has been proved to be a new business model with the characteristics of low carbon and environmental protection,logistics and distributions as a part of the electronic commerce still produce high energy consumption.Therefore,this article is to add the concept of low-carbon to B2C e-commerce VRP model,to find the solution to the model.In this paper,the research work mainly includes the following sections:Firstly,according to the commerce logistics features and low-carbon logistics features,we can create a mathematical model of B2C e-commerce VRP,in order to help e-commerce companies to reduce carbon emissions and to enhance corporate social image.Secondly,through comparing with the traditional logistics distribution,we can know that the electronic commerce logistics distribution has a higher demand on the time efficiency.We can optimize the minimum four aspects of the mathematical model,in which the shortest distance,the least time,the least distribution vehicles and the least polluted gas.On this basis,according to the model,we use adaptive genetic algorithm and MATLAB software to solve the model.In order to verify the performance of the algorithm,the CPLEX algorithm is used to compare with the heuristic algorithm.Finally,this article verifies the low carbon B2C e-commerce VRP model through the case.We design adaptive genetic algorithm.Model comparison and numerical analysis show that the model and the adaptive genetic algorithm can get the optimal vehicle routing.This method can not only satisfy the requirements of consumers,but also can reduce logistics costs and improve the economic efficiency of enterprises.Therefore,the research on the VRP problem of low carbon e-commerce has good theoretical and practical significance.