摘要
在“双碳”目标驱动下,冷链物流亟需兼顾低碳减排与运营成本双重目标。针对现有研究多维度协同不足、碳排放测算简化等问题,文章提出时空耦合的多车型协同机制,构建车型配置–中心协作–正逆向路径的三维决策模型,集成制冷成本、时间窗柔性处罚等冷链特性约束,建立多目标优化函数。针对模型特点,设计动态自适应遗传算法,通过种群演化状态感知和样本集中度反馈,动态调整交叉率和变异率。仿真实验得出:相比单一车型配送,多车型策略降低总成本25.15%,减少碳排放12%;多中心模式相较于单中心配送距离缩减38.79%,碳排放降低31.03%;同时送取货模式较独立模式节约成本36.95%,验证了模型在资源协同配置与低碳转型中的有效性,为冷链物流企业提供了“车型–网络–流向”多要素联动的决策范式。
Driven by the“dual carbon”goal,cold chain logistics urgently needs to balance the dual goals of low-carbon emissions reduction and operating costs.Aiming at the problems of insufficientmultidimen-sional collaboration and simplified carbon emission measurement in existing research,a spatio-temporal coupled multi-vehicle collaboration mechanism is proposed,and a three-dimensional decision model of vehicle configuration,center collaboration,and forward-reverse reverse paths is constructed.The cold chain characteristic constraints,such as refrigeration cost and flexible time window penalty,are integrated,and a multi-objective optimization function is established.Design a dynamic adaptive genetic algorithm based on the characteristics of the model,which dynamically adjusts the crossover and mutation rates through population evolution state percep-tion and sample concentration feedback.Through simulation experiments,it was found that com-pared to single-vehicle delivery,the multi-vehicle strategy reduces total costs by 25.15%and car-bon emissions by 12%.Compared to single-center distribution,the multi-center mode reduces the delivery distance by 38.79%and carbon emissions by 31.03%.The simultaneous delivery and pickup mode saves 36.95%of costs compared to the independent mode,verifying the effective-ness of the model in resource collaborative allocation and low-carbon transformation and provid-ingadecision-makingparadigm of“vehiclemodel-network-flow”multi-factorlinkageforcold chain logistics enterprises.
作者
孙琳
干宏程
陈雨蝶
Lin Sun;Hongcheng Gan;Yudie Chen(Business School,University of Shanghai for Science and Technology,Shanghai)
出处
《建模与仿真》
2025年第5期127-140,共14页
Modeling and Simulation
基金
国家自然科学基金(71871143)
上海科技行动创新计划(22dz1203405)。
关键词
多车型
多中心
同时送取货
冷链物流
改进遗传算法
Heterogeneous Fleet Vehicle
Multiple Centers
Simultaneous Pickup and Delivery
Cold Chain Logistics
Adaptive Genetic Algorithm
