Research On Cold Chain Logistics Dynamic Path Optimization Based On Common Distribution

In recent years,with the rapid development of the national economy and the significant increase in the level of national consumption,the social demand for cold chain products has been increasing.Studies have shown that the current cold chain distribution efficiency and cold chain operation process can not solve the problem of dynamic demand customers well.If the dynamic demand customers are delivered individually,it will greatly increase the distribution cost and cause unnecessary waste.Therefore,through the rational integration and utilization of existing resources in the cold chain logistics distribution process,the optimization of the cold chain logistics distribution path for customers with dynamic needs is of great value for reducing corporate distribution costs and improving distribution efficiency.This paper analyzes the adaptation conditions of cold chain logistics and the related modes of common distribution.Combining the characteristics of dynamic demand points in the distribution process,this paper proposes a dynamic path optimization scheme for cold chain logistics common distribution,which significantly reduces distribution costs and improves distribution efficiency.The main work carried out in this article is:(1)The problem of dynamic path optimization of cold chain logistics based on common distribution is studied.On the premise of comprehensive consideration of fixed costs,fuel consumption costs,cargo damage costs,refrigeration costs,and penalty costs in the cold chain distribution process,the time axis concept is introduced according to actual demand information Using a two-stage optimization method,a mathematical model of cold chain logistics common distribution path optimization under static and dynamic customer needs was constructed,which laid the foundation for the optimization design of cold chain logistics common distribution path.(2)Based on the mathematical model of cold chain logistics common distribution path optimization under static and dynamic customer requirements,the adaptive index of cold chain logistics common distribution is proposed,combined with improved genetic algorithm,and dynamic path optimization is used as the test plan to optimize the cost and optimize The optimal design of the path shows that the method has good adaptability to the cold chain logistics dynamic path optimization problem.(3)The actual case of cold chain logistics co-distribution was selected,and the improved genetic algorithm was used to optimize the static and dynamic path optimization mathematical models with the minimum cost and optimal path as the goal.The results were compared and analyzed to improve the vehicle's The utilization rate has significantly reduced the cost of cold chain logistics distribution.In summary,this paper optimizes the problems of high cost and low vehicle utilization in the cold chain logistics distribution process,which reduces the transportation cost of the enterprise,shortens the distribution time of cold chain logistics,and reduces various energy consumption,Improve the enterprise's distribution efficiency and customer satisfaction,and have a higher practical application value.