AI驱动的汽车物流变革——应用、实现与前沿实践  

AI-Driven Transformation of Automotive Logistics——Applications,Implementations and Cutting-edge Practices

作　　者：傅海龙 胡帅 梅小宝 王素萍 Fu Hailong;Hu Shuai;Mei Xiaobao;Wang Suping

机构地区：[1]浙江吉润汽车有限公司宁波杭州湾分公司,浙江宁波315336

出　　处：《时代汽车》2025年第1期179-181,191,共4页Auto Time

摘　　要：聚焦AI在汽车物流领域的变革,阐述了其特点、重要性及AI的影响。AI在汽车物流里的应用体现在车辆调度及运输规划、零部件库存的管理、物流风险的把控、智能装卸与搬运等多个方面。其实现的步骤包含清晰界定业务目标、进行数据采集并预处理、算法的选定以及模型的构建等内容。实际应用案例表明AI能为物流带来降本增效。未来,AI在该领域有望实现智能化物流设备、大数据预测分析等发展,但也面临供应链协调等挑战,需采取相应策略应对,以实现更高效、智能和可持续的物流解决方案。Focusing on the transformation of AI in the field of automotive logistics,this paper expounds its characteristics,importance and impact of AI.The application of AI in automotive logistics is reflected in vehicle scheduling and transportation planning,parts inventory management,logistics risk control,intelligent loading,unloading and handling,and other aspects.The steps involved clearly defining business objectives,data collection and preprocessing,algorithm selection,and model construction.Practical application cases show that AI can reduce costs and increase efficiency in logistics.In the future,AI is expected to achieve the development of intelligent logistics equipment and big data predictive analysis in this field,but it also faces challenges such as supply chain coordination,and corresponding strategies are needed to respond to it to achieve more efficient,intelligent and sustainable logistics solutions.

关 键 词：AI 应用 汽车物流 大数据分析 

分 类 号：F25[经济管理—国民经济]