Research On Optimization Of Low-carbon Distribution Path Of SF E-commerce Company

At a time global climate change is getting worse and resources are drying up.The low-carbon economy has received government appeals and attention.As a new business model,B2 C e-commerce has always been considered as a low-carbon economic development model due to the characteristics of economic and low-carbon.However,there are still links that are not environmentally friendly and low carbon in B2 C e-commerce.Among them,the energy consumption and emissions of logistics and distribution are the highest.Considering that logistics distribution is one of the important links in the development of e-commerce,this article introduces the concept of low carbon into the B2 C e-commerce logistics distribution problem and establishes a low-carbon distribution path optimization model.This article also optimizes the B2 C e-commerce distribution path to improve the the characteristics of timeliness,low carbon and economy.From the perspective of management science and engineering,this paper takes China’s heavy industry as the research object.Firstly,the level of the carbon emission from 1990 to 2016 is analyzed,and the carbon emission measurement method and industry scope are introduced.Then,the influencing factors of carbon emission in China’s heavy industry are analyzed.First,this article analyzes the characteristics of B2 C e-commerce distribution and low-carbon distribution and elaborates the relationship between B2 C e-commerce and logistics distribution.And this article takes S e-commerce company as an example to summarize its current development status and existing problems in the logistics distribution link.problem.Secondly,based on the traditional VRP model with time window limitation and combining the characteristics of B2 C e-commerce distribution,this paper determines that the B2 C e-commerce distribution model under low carbon constraints should aim at the minimum total distribution cost,where the distribution cost includes vehicle fixing costs,transportation costs,carbon emission costs,and time window penalty costs and a low-carbon distribution model was established with the goal of minimizing total distribution costs.Considering the impact of traffic congestion on vehicle fuel consumption and carbon emissions in urban distribution,the path with the shortest physical distance is not necessarily the optimal path.When establishing the model,a traffic congestion coefficient is assigned to each path,and the physical distance of the road is given.It is converted into a virtual distance corresponding to the economic vehicle speed,and optimization is performed on the basis of the virtual distance,thereby minimizing distribution costs and reducing carbon emissions.Finally,this paper uses the improved genetic algorithm to solve the model,and obtains the optimal distribution path scheme which verifies the effectiveness of the model and algorithm.A route optimization model that considers carbon emissions but does not consider transportation factors and a route optimization model that considers transportation factors but does not consider carbon emissions are established as a comparison,and they are compared with the original model.The carbon emission factors are introduced into the route optimization model.It can effectively reduce emissions,and the shortest physical distribution path is not necessarily the most efficient path.The research in this paper has certain theoretical and practical guiding significance for the optimization of B2 C e-commerce lowcarbon distribution paths.