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Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology
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作者 Somil Nishar 《Intelligent Control and Automation》 2024年第1期1-8,共8页
This paper analyzes how artificial intelligence (AI) automation can improve warehouse management compared to emerging technologies like drone usage. Specifically, we evaluate AI’s impact on crucial warehouse function... This paper analyzes how artificial intelligence (AI) automation can improve warehouse management compared to emerging technologies like drone usage. Specifically, we evaluate AI’s impact on crucial warehouse functions—inventory tracking, order fulfillment, and logistics efficiency. Our findings indicate AI automation enables real-time inventory visibility, optimized picking routes, and dynamic delivery scheduling, which drones cannot match. AI better leverages data insights for intelligent decision-making across warehouse operations, supporting improved productivity and lower operating costs. 展开更多
关键词 warehouse management Artificial Intelligence AUTOMATION Inventory management Order Fulfillment
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Secondary Warehouse Management System of Medical Low Value Consumables under SPD Mode and its Working Method 被引量:1
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作者 Li Xu Shijie Zhang 《Journal of Clinical and Nursing Research》 2021年第2期70-72,共3页
Objective:To study the secondary warehouse management system and operation mode of medical low value consumables under SPD mode.Methods:From August 2018 to August 2019,the management mode of the secondary warehouse ma... Objective:To study the secondary warehouse management system and operation mode of medical low value consumables under SPD mode.Methods:From August 2018 to August 2019,the management mode of the secondary warehouse management system of medical low value consumables was selected.According to the management method,it can be divided into the observation group and the control group.The relevant data of the observation group was based on SPD mode,and the data of the control group was based on the traditional mode.According to the improvement of the two groups of data management effect,data integration and analysis are carried out to judge the effectiveness of the SPD mode of medical low value consumables secondary warehouse management system and its working mode.Results:During the analysis of the two groups of data,the relevant data were analyzed.The data validity of the observation group was higher(94.0%),and the differences of the limitations and problems in the management process had more advantages,while the relevant data corresponding to the two groups of data had significant differences(P<0.05).Conclusion:According to the current research results,Based on the collection,storage and central management of data electronic medical record information,the secondary warehouse management system of medical low value consumables under SPD mode is connected with clinical information system and management information system,which realizes the unification,resource integration and efficient operation of different business systems in the hospital,so as to help improve the quality and efficiency of medical care,prevent and reduce medical errors,Control and reduce medical expenses. 展开更多
关键词 SPD mode Medical consumables warehouse management
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基于深度学习的物流跟踪管理
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作者 胡瑶 胡经蒙 +2 位作者 杨欣怡 孙世诚 刘庆华 《物流科技》 2024年第10期36-40,79,共6页
利用先进的人工智能和计算机视觉技术,物流管理取得了重大进展。如何建立一套能够有效解决物体遮挡、运动模糊、目标相似等实际问题的检测技术,是一个重要的挑战。文章提出了一种基于YOLOv8和Deep-SORT的方法来跟踪货物位置。该系统可... 利用先进的人工智能和计算机视觉技术,物流管理取得了重大进展。如何建立一套能够有效解决物体遮挡、运动模糊、目标相似等实际问题的检测技术,是一个重要的挑战。文章提出了一种基于YOLOv8和Deep-SORT的方法来跟踪货物位置。该系统可以有效地识别、定位、跟踪和计数镜头前的货物。称之为“warehouse management”,该算法基于示例跟踪范式,并将跟踪应用于检测对象的边界框。在此基础上,自动识别感兴趣区域(ROI),有效消除不需要物体。我们的F1的分数是0.816 7。 展开更多
关键词 Deep-SORT YOLOv8 warehouse management 目标检测 图像识别
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