Optimization Of Multi-temperature Co-configuration Path Of Cold Chain Logistics With Yunleng Y As An Example

With the improvement of people’s living standards and changes in dietary concepts,the quality and demand for cold chain products such as fresh fruits and vegetables are increasing with passing day,which promotes the development of cold chain logistics.At the current period,the development level of China’s cold chain logistics is relatively backward,and the problems of high distribution cost and large product loss seriously restrict the development of cold chain logistics.Cold chain distribution is an important part of the operation of cold chain logistics How to scientifically and rationally choose the cold chain logistics distribution route is very important.This thesis takes Yunleng Y corporation as the background and mainly does the following research work.Firstly,according to the theoretical basis of cold chain logistics,descript the cold chain logistics operation mode,business product characteristics,cold chain distribution cost comparison and cold chain distribution process status of Yunleng Y,and analyzed the existing cold chain distribution route planning problem.The cold storage multi-temperature co-location path optimization model with the lowest total distribution cost,the total cost of distribution includes the fixed use cost of the vehicle,the driving cost of the vehicle,the fixed use cost of the cold storage incubator and the cooling cost,and the penalty cost of the time window;using genetic algorithms to optimize the model results,Taking the cold chain of Yunleng Y variety and multi-temperature layer as the empirical analysis object,the optimal path selection scheme is proposed.The research conclusions can provide theoretical reference for the research of multi-temperature distribution problem of cold chain logistics,and provide practical guidance for the optimization of distribution path of cold chain enterprises.