“双碳”背景下的冷链共同配送路径优化研究

Research on Optimization of Cold Chain Co-Delivery Routes in the Context of“Dual Carbon”

在“双碳”背景下,优化冷链共同配送路径,可以有效降低配送成本及碳排放。文章以车辆配送路径为切入点,构建以配送总成本最小化为目标函数的模型。该模型考虑了车辆启动成本、货损成本、制冷成本、碳排放成本和时间惩罚成本,并使用粒子群算法求解模型。通过设计案例,使用算法对问题进行分析。结果表明,使用粒子群算法,合理设计车辆配送路径,可以同时降低碳排放和配送总成本,满足“双碳”要求。

In response to the call of“dual carbon”,optimizing the co-delivery routes of cold chain can effectively cut delivery costs and carbon emissions.Hence,a model with the function of minimizing the total delivery cost is constructed,which takes into account the costs of vehicle start-up,cargo damage,refrigeration,carbon emission,and time penalty Then,particle swarm algorithm is applied to solve the model,the results of which indicate that using the algorithm to design delivery routes reasonably can simultaneously cut carbon emissions and total delivery costs,meeting the requirements of“dual carbon”.