Research on Optimization of Pasteurized Milk Cold Chain Logistics Distribution Network

With the popularity of pasteurized milk, the requirements for quality and quantity from customers are increasing. This article takes cold chain distribution network of the Guangzhou dairy company as research object and bases on the special needs of pasteurized milk on time and temperature, establishing a vehicle routing optimization model of cold chain logistics with time window in dynamic network model through improving traditional vehicle routing problem. Also, a hybrid genetic algorithm is designed to solve the model which uses the excellent local search ability of hill climbing algorithm to optimize the genetic algorithm. Finally, it analyzes data from the company, sets reasonable parameters and obtains the optimization results, through which, the author gives corresponding recommendations in order to improve the quality of dairy products and the cold chain delivery efficiency of this company.