摘要
大数据技术的进步和发展,为物流行业带来了新的发展契机。物联网技术、数据挖掘技术、人工智能技术、大数据分析平台、云计算技术等在物流管理中的应用有助于不断优化物流行业的发展计划、提升运输的效率、预测货物运输的时间、实现各种数据源的分析和整合、扩展物流计算和服务能力,为物流行业开展物流管理工作注入新的生命力。基于此,文中针对大数据技术在物流管理中的应用做了深入的剖析,旨在为物流管理工作提供更多参考价值。
The progress and development of big data technology have brought new development opportunities for the logistics industry.The application of Internet of Things technology,data mining technology,artificial intelligence technology,big data analysis platform and cloud computing technology in logistics management will help continuously optimize the development plan of the logistics industry,improve the efficiency of transportation,predict the time of cargo transportation,realize the analysis and integration of various data sources,and expand the logistics computing and service capabilities,which injects new vitality into logistics management works for the logistics industry.Based on this,this paper makes an in-depth analysis of the application of big data technology in logistics management,in order to provide more reference value for logistics management.
作者
李璟
LI Jing(Shanxi Engineering Vocational College,Taiyuan 030032,China)
出处
《物流工程与管理》
2023年第5期28-29,70,共3页
Logistics Engineering and Management
基金
山西省教育科学“十四五”规划课题“全面高质量发展背景下高职院校现代物流管理产教融合实训基地建设路径研究”(编号:GH-220471)。
关键词
大数据技术
物流管理
应用
big data technology
logistics management
application
