The Research Of Multi-objective Cold Chain Logistics Distribution Route Optimization Considering Road Conditions And Time Windows

The current increase in the demand for fresh vegetables and fruits in society,especially in big cities,has led to an increasing demand for cold chain transportation.The cost of cold chain transportation vehicles in transit(including vehicle consumption,environmental pollution caused by emissions,etc.)is far higher For general logistics transportation vehicles,and the loading and unloading operations of large trucks have a greater impact on the surrounding environment,resulting in strict constraints on the time window for loading and unloading.Therefore,it is necessary to try to meet each purpose when optimizing the distribution path of cold chain logistics transportation The local time window restricts and reduces the transit time of transportation vehicles.In this paper,the cold chain logistics distribution route optimization problem of fresh supermarkets is taken as the research object.From the perspective of road conditions and logistics distribution time windows,the target cold chain logistics distribution route optimization model is established and based on a medium and large fresh food e-commerce The enterprise's situation verified the scientific rationality and effectiveness of the established optimization model and the developed optimization algorithm.The main basic innovation and breakthrough contribution research results of this article are as follows:The article fully combines the previous research and analysis of the actual path optimization of traditional cold chain logistics distribution in reality,first of all,consider the impact of road conditions and time windows on cold chain logistics realtime distribution optimization,and the special cold chain transportation To build a multi-objective cold chain logistics distribution route optimization model,and then design a solution method based on genetic algorithm,therefore,from the perspective of problem modeling and solving,the research content of logistics distribution route optimization is broadened to a certain extent.Considering the fact that the extension of the cold chain logistics distribution travel time caused by road congestion will increase the cold chain transportation cost and carbon emissions,and the inaccuracy of the travel time will increase the difficulty of the time window constraint,this study will As an important foundation and influence factor of the distribution route optimization model,the results of the established route optimization model can more accurately fit the actual situation and increase the applicability of the route optimization model.The experimental results show that the model based on this research The optimized solution can effectively improve the circulation rate of cold chain products and reduce the cargo loss rate of cold chain products,thereby greatly reducing the total cost of cold chain product logistics distribution,improving the benefits of cold chain logistics enterprises,and effectively reducing carbon emissions Reducing the pollution and harm to the environment,achieving a balance between environmental and social and economic benefits,and providing good decision guidance information for large-scale cold chain product logistics companies to optimize logistics distribution.