Research on the Optimization of Cold Chain Logistics Distribution Routes—A Case Study of Yonghui Supermarket

随着电商行业的蓬勃发展，冷链物流成为关键环节。本文以永辉超市为例，深入研究其冷链物流配送路径问题，如配送距离长、采购中心匮乏、交通堵塞影响配送效率等。为解决这些问题，文章构建蒙特卡罗模拟算法和模拟退火算法模型进行路径优化。研究结果表明，优化后的模型能有效控制配送时间、降低成本，模拟退火算法模型路径优化效果更优。最后，提出构建专业物流配送中心、发展直达运输和采用车辆右转配送策略等建议，为永辉超市及电商冷链物流发展提供参考。With the vigorous development of the e-commerce industry, cold chain logistics has become a crucial link. Taking Yonghui Supermarket as an example, this paper conducts an in-depth study on the distribution route problems of its cold chain logistics, such as long distribution distances, a shortage of procurement centers, and traffic congestion affecting distribution efficiency. In order to solve these problems, this paper constructs Monte Carlo simulation algorithms and simulated annealing algorithm models for route optimization. The research results show that the optimized model can effectively control the distribution time and reduce costs, and the simulated annealing algorithm model has a better route optimization effect. Finally, suggestions such as constructing professional logistics distribution centers, developing direct transportation, and adopting the vehicle right-turn distribution strategy are put forward, providing a reference for the development of cold chain logistics in Yonghui Supermarket and the e-commerce industry.