基于交通大数据的农产品冷链物流配送路径优化研究

Research on Optimization of Distribution Route for Cold Chain Logistics of Agricultural Products Based on Traffic Big Data

为解决生鲜农产品冷链物流配送成本高、在途时间长等问题,考虑到日趋拥堵的城市道路,本文首先基于实时路况信息分析农产品冷链物流配送的固定成本、运输成本、制冷成本、货损成本和惩罚成本等,建立了总成本最小化的配送路径优化数学模型。在此基础上,为进一步解决末端灵活配送和降低总配送成本问题,提出在冷链配送中合理设置接驳点,建立了基于实时路况和接驳点的农产品冷链物流配送路径优化数学模型。利用蚁群算法对上述模型求解,并进行了实证研究分析。研究表明,基于实时路况信息和接驳方式的农产品冷链物流配送可以有效地降低冷链配送成本和提高客户满意度。

To solve the problems of high cost of cold chain logistics of fresh agricultural products and long travelling time,and in view of the increasingly congested urban roads,this paper first analyzes the fixed cost and the costs of transportation,refrigeration,cargo loss and penalty of cold chain logistics distribution of agricultural products based on real-time traffic information and builds a mathematical model for distribution route optimization with minimized cost.On this basis,in order to further solve the problem of flexible end distribution and reduce the total distribution cost,it is proposed to set reasonable connection points in the cold chain distribution and establish a mathematical model for the distribution route optimization of agricultural products cold chain logistics based on real-time traffic information and connection points.It uses ant colony algorithm to solve the above models and conducts an empirical analysis.The study shows that cold chain distribution of agricultural products based on real-time traffic information and connection point method can effectively reduce the cost of cold chain distribution and increase customer satisfaction.