智能物流管理:应用机器学习与人工智能  

Intelligent Logistics Management:Applying Machine Learning and Artificial Intelligence

作　　者：刘东然 位正 高宁 LIU Dongran;WEI Zheng;GAO Ning(Information Technology Center,North China Institute of Aerospace Engineering,Langfang 065000,China;School of Computer Science,North China Institute of Aerospace Engineering,Langfang 065000,China)

机构地区：[1]北华航天工业学院信息技术中心,河北廊坊065000 [2]北华航天工业学院计算机学院,河北廊坊065000

出　　处：《物流科技》2025年第4期39-42,共4页Logistics Sci Tech

基　　金：2024年度廊坊市科学技术研究与发展计划自筹经费项目“一种多层实时网络数据流动态加密算法研究”(2024011038);2025年河北省高等学校科学研究项目“航天遥感系统中处理器重构研究仿真模拟平台”(ZC2025151);2022年中央引导地方科技发展资金项目(自由探索类基础研究)“基于细粒度感知原型特征的对比学习无监督行人重识别关键技术研究”(226Z0302G)。

摘　　要：随着全球化和电子商务的迅猛发展,传统物流管理方法已难以满足当前的市场需求,亟需更智能化的解决方案优化物流运营。在此背景下,将机器学习和人工智能集成在智能物流管理系统中,可通过实时数据处理和模拟训练,自动调整策略以适应不断变化的市场需求。因此,文章将基于理论概述,应用机器学习与人工智能构建智能物流管理系统,并开展系统性能测试,以期为物流行业提供创新的管理策略,提高物流企业整体运营效率并降低成本。With the rapid development of globalisation and e-commerce,traditional logistics management methods have struggled to meet current market demands,and more intelligent solutions are urgently needed to optimise logistics operations.In this context,machine learning and artificial intelligence are integrated in an intelligent logistics management system,which can automatically adjust the strategy to adapt to the changing market demand through real-time data processing and simulation training.Therefore,based on the theoretical overview,this paper will apply machine learning and artificial intelligence to construct an intelligent logistics management system and conduct the system performance testing,aiming at providing innovative management strategies for the logistics industry,improving the overall operational efficiency of logistics enterprises and reducing costs.

关 键 词：智能物流管理 机器学习 人工智能 

分 类 号：F259.27[经济管理—国民经济]