考虑碳排放的“到柜”模式冷链物流选址-路径问题

Location-routing Problem of Cold Chain Logistics Based on "Arriving at Cabinet" Mode Considering Carbon Emissions

文章以“到柜”模式生鲜电商食行生鲜的冷库-自提柜设施为研究对象,构建了基于物流综合成本和碳排放量最低的冷链物流选址-路径问题双目标模型,设计带有局部搜索的混合遗传算法进行模型求解。针对食行生鲜的实际经营数据进行实证分析,验证了该算法具有较高的运算效率和良好的收敛性,对比求解的考虑与不考虑碳排放的优化结果,发现将碳排放作为影响经济成本的关键因素来考虑时,既能降低物流综合成本,又能缩短冷藏车行驶距离。

This paper taking the "to-the-counter" mode of fresh e-commerce food store as the research object,a double-objective model of cold chain logistics location-routing problem based on the comprehensive logistics cost and the lowest carbon emissions is constructed.A hybrid genetic algorithm with local search is designed to solve the model.An empirical analysis is made on the actual operation data of fresh food shops,which proves that the algorithm has high operation efficiency and good convergence.By comparing the optimization results with or without carbon emissions,it is found that considering carbon emissions as a key factor affecting economic costs can not only reduce the comprehensive logistics cost,but also shorten the driving distance of refrigerated trucks.