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作 者:戴玉 DAI Yu(Shangqiu Institute of Technology,Shangqiu 476000,China)
机构地区:[1]商丘工学院,河南商丘476000
出 处:《物流科技》2025年第6期13-14,18,共3页Logistics Sci Tech
基 金:商丘市哲学社会科学规划“新时代河南省农业现代化发展问题与对策研究”(SKG-2023-257)。
摘 要:随着计算技术的飞速发展,大数据已深深植根于民众的日常生活与工作中,成为现代企业在激烈的市场竞争中保持可持续发展并提升竞争力的关键驱动力。在企业物流管理领域,大数据技术的应用具有至关重要的实际意义。企业若能灵活应用大数据技术,将显著提升物流管理效率,为物流行业的长远发展带来新的契机,并有力促进物流管理成功实现转型与升级。文章以大数据为关键视角,全面深入地分析了现代企业物流管理中存在的各类问题,并从多个维度探讨了物流管理的创新思路和方法。With the rapid evolution of computing technology,big data has been deeply integrated into people's daily life and work,and has become the core driving force for modern enterprises to maintain sustainable development and enhance competitiveness in fierce market competition.In the field of enterprise logistics management,the application of big data technology is of vital practical significance.If enterprises can flexibly use big data technology,it will significantly improve the efficiency oflogistics management,create new opportunities for the long-term development of enterprise logistics,and effectively promote the smooth transformation and upgrading oflogistics management.This paper took big data as the key perspective,comprehensively and deeply analyzed various problems existing in modern enterprise logistics management,and discussed innovative ideas and methods oflogistics management from multiple dimensions.
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