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人工智能赋能中药智能物流管理研究

Research on Artificial Intelligence Empowering Intelligent Logistics Management of Traditional Chinese Medicine

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【作者】 张隆妍宋梦瑶苟鸿杰陈立梅刘玄

【Author】 ZHANG Longyan;SONG Mengyao;GOU Hongjie;CHEN Limei;LIU Xuan;School of Management, Nanjing University of Posts and Telecommunications;

【机构】 南京邮电大学管理学院

【摘要】 人工智能(AI)时代下,源远流长的中医药要想做到与时俱进、推陈出新,离不开现代中药物流的智能管理。文中基于企业的视角,明确了中药物流的重要意义,剖析出中药物流当前面临仓储技术落后、管理效率低下、集约化程度低、药品真实情况难以检测、中药物流人工智能方面人才短缺几大问题,建议企业对仓储技术进行智能化升级、优化集约运输体系、开展智能化检测、培养高级物流人才,以提升中药物流管理水平,进而促进中药企业的发展。

【Abstract】 In the era of artificial intelligence, if the time-honored traditional Chinese medicine wants to keep pace with the times and bring forth new ideas, it is inseparable from the intelligent management of modern Chinese medicine logistics. From the perspective of enterprises, this article clarifies the significance of traditional Chinese medicine logistics, and analyzes several major problems currently faced by traditional Chinese medicine logistics, such as backward warehousing technology, low management efficiency, low degree of intensification, difficulty in detecting the real situation of drugs, and shortage of talents in artificial intelligence in traditional Chinese medicine logistics. It is suggested that enterprises should upgrade their warehousing technology intelligently, optimize the intensive transportation system, conduct intelligent detection, and cultivate senior logistics talents, so as to improve the management level of traditional Chinese medicine logistics and promote the development of traditional Chinese medicine enterprises.

【基金】 江苏省“大学生创新创业训练计划”项目(202410293240T);2024江苏省教育科学规划重点课题(JS/2024/ZD0111-04949);南京邮电大学研究生教育教学改革课题(课题编号:JGKT23_XJ20);2023年江苏省高等教育教改项目(课题编号:2023JSJG773);江苏高校哲学社会科学研究重大项目(2023SJZD027)
  • 【文献出处】 物流工程与管理 ,Logistics Engineering and Management , 编辑部邮箱 ,2025年05期
  • 【分类号】TP18;F426.72;F252
  • 【下载频次】40
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