关键词: 冷链物流, 低碳经济, 客户满意度, 车辆路径问题, 路径优化

Abstract: On the basis of considering the low customer satisfaction of cold chain distribution,taking vehicle load,customer time window and cold chain product deterioration rate as constraints,a cold chain vehicle path optimization model with the minimum carbon emission as the optimization goal in the customer service time range was constructed.The upper and lower limits of pheromone concentration were integrated into the traditional ant colony algorithm,and the convergence speed and global search ability were improved by combining the neighborhood search strategy.Simulation results showed that the improved ant colony algorithm could search the optimal cost with higher efficiency in the process of solving VRP Problem.At the same time,the model satisfied the economic and social benefits of enterprises,achieved good path optimization effect in different scale experimental scenarios,and verified the effective optimization ability of the model.

Key words: cold chain logistics, low-carbon economy, customer satisfaction, vehicle routing problem, path optimization