Optimization Of Vehicle Routes For Fruit And Vegetable Distribution Considering Carbon Emissions

As modern logistics gradually becomes more popular and penetrates into people’s lives,logistics distribution,especially the "last mile" distribution,plays an increasingly important role in the overall logistics system,and the complex and diverse distribution system makes it the most important energy-consuming part of logistics activities.The energy consumed by the enterprise transportation not only accounts for a large proportion of the distribution cost,but also is one of the main sources of carbon dioxide emissions.In addition,with the development of China’s economy,people’s consumption patterns have changed,and the demand for fruit and vegetable products is increasing,and the proportion of fruit and vegetable logistics and distribution is growing.Fruits and vegetables products have easy corrosion,easy loss,not resistant to pressure and other characteristics,so for the distribution time and distribution vehicles in both weight and space loading capacity requirements are strict,its logistics and distribution shows different from the general distribution characteristics.In the context of "emission reduction",how to combine the characteristics of fruit and vegetable logistics,design a reasonable vehicle path optimization,is the focus of this paper.In this paper,we take enterprise A as an example,integrate the carbon emission problem in logistics distribution into the distribution path optimization process,consider the quality of distribution service,time window constraints and the impact of distribution vehicle weight and capacity on carbon emission,establish a mathematical model of vehicle path optimization that integrates economic cost and environmental cost of carbon emission,and solve the model with improved chaos firefly algorithm.Based on the research results,this paper constructs a quantitative analysis method of carbon emission and the resulting environmental pollution cost,and designs a vehicle path optimization model that integrates economic cost and environmental cost of carbon emission based on this method.The model not only fully considers the characteristics of fruit and vegetable logistics in terms of distribution vehicle capacity(weight and space)and service time window,but also incorporates vehicle departure cost,transportation cost,carbon emission environmental cost and time window cost into the optimization objective,and establishes a green logistics distribution vehicle path optimization system with strong practical value;for the optimization characteristics of the model,this paper adapts the Firefly algorithm as the basis to Logistics distribution path optimization model solving problem,and proposed an improved firefly algorithm based on chaotic sequence,the introduction of chaotic sequence method to improve the problem of low efficiency of population initialization in the traditional firefly algorithm,the improved firefly algorithm showed good performance in the process of model optimization solving.Based on the actual data of distribution of enterprise A,the feasibility and effectiveness of the established logistics vehicle distribution path model are verified through simulation,and the vehicle distribution path considering carbon emission is obtained,and the economic cost and environmental cost are reduced through comparative analysis,and the corresponding optimization target is achieved.The simulation results of this case also show that the improved chaotic firefly algorithm has faster convergence speed and better finding ability than the comparative heuristic algorithm,which is an effective method to solve the logistics distribution path optimization problem.