摘要
随着云计算、物联网、大数据分析以及人工智能技术的广泛应用,我国物流业正在向智能化、自动化方向发展。机器学习作为人工智能的核心,它在智能物流领域中的应用也越来越引起人们的重视。文章主要研究了机器学习在智能仓储、智能运输、智能配送中的应用。具体研究内容包括基于机器学习的智能分拣系统、智能仓库规划设计、交通流预测与分析问题、车辆调度问题等。针对机器学习在智能物流中存在的问题,文章也进行了概述并提出了解决措施,希望通过对机器学习在智能物流研究中的应用提供理论指导。
With the wide application of cloud computing,internet of things,big data analysis and artificial intelligence technology,Chinese logistics industry is developing in the direction of intelligentization and automation.As the core of artificial intelligence,the application of machine learning in the field of intelligent logistics has attracted more and more attention.This paper mainly studies the application of machine learning in intelligent warehousing,intelligent transportation,and intelligent distribution.Specific research contents include intelligent sorting system,intelligent warehouse planning and design,research on traffic flow prediction and analysis,and research on vehicle scheduling problems based on machine learning,etc.Aiming at the problems existing in machine learning in intelligent logistics,this paper also gives an overview and puts forward solutions,hoping to provide theoretical guidance for the application of machine learning in intelligent logistics research through this study.
作者
魏进
闫春雨
闫雪原
WEI Jin;YAN Chunyu;YAN Xueyuan(Shandong Vocational Animal Science and Veterinary College,Weifang 261061,China;Shandong University of Technology,Zibo 255000,China;Weifang University,Weifang 261061,China)
出处
《物流科技》
2024年第1期70-72,77,共4页
Logistics Sci-Tech
基金
教育部产学合作协同育人项目(202102403016)
潍坊市产教融合研究院青年专项项目(Wfqn202204)
潍坊学院博士科研基金项目(2021BS48)
中国国际贸易促进委员会商业行业委员会中国国际商会商业行业商会2022年跨境电商研究课题项目“‘一带一路’战略下我国跨境电商物流发展的研究”(CCPITCBEC-20221116)。
关键词
机器学习
智能物流
智能仓储
智能运输
智能配送
machine learning
intelligent logistics
intelligent warehousing
intelligent transportation
intelligent distribution
