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G400B设备自动贴标机的运行效率数据

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浙江省数据知识产权登记平台2024-07-31 更新2024-08-01 收录
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https://www.zjip.org.cn/home/announce/trends/46331
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通过对G400B自动贴标机的贴标数据进行统计分析,了解日期、产线名称、工序名称、设备名称、设备型号、理论贴标速度、计划负荷时间、负荷时间、停机时间、贴标总量、不合格量等产线生产数据,分析G400B自动贴标机的时间稼动率、性能稼动率、良品率、设备综合效率、同比增长率,为G400B自动贴标机的运行提供数据支撑,在确保G400B自动贴标机稳定运行的基础上,提高G400B自动贴标机生产效率。G400B自动贴标机的贴标数据,不仅能应用于企业内部,针对PVC塑料产线的运行设备进行优化和采购指导,也能帮助家电、汽车、建材等制造行业的相关企业深入的了解G400B自动贴标机的工作特性,对该企业的相关设备采购工作提供参考价值。 算法规则包括以下几个方面:1.数据采集:通过对G400B自动贴标机的运行数据进行采集,包括日期、产线名称、工序名称、设备名称、设备型号、理论贴标速度、计划负荷时间、负荷时间、停机时间、贴标总量、不合格量。2.数据处理:通过算法计算可知,时间稼动率=(负荷时间-停机时间)/负荷时间*100%;性能稼动率=(贴标总量/理论贴标速度)/负荷时间*100%;良品率=(贴标总量-不合格量)/贴标总量*100%;设备综合效率=时间稼动率*性能稼动率*良品率;同比增长率=(本期设备综合效率-同期设备综合效率)/同期设备综合效率*100%。3.数据应用:根据时间稼动率、性能稼动率、良品率、设备综合效率以及同比增长率相关数据变化,为G400B自动贴标机设备健康运行提供数据支撑,便于管理部门对PVC塑料产线进行全面评估,为企业智能化工厂的建设提供支持和数据保障。

This dataset conducts statistical analysis on the labeling data of the G400B automatic labeling machine, collecting production line data including date, production line name, process name, equipment name, equipment model, theoretical labeling speed, planned load time, load time, downtime, total labeled quantity, and defective quantity. It calculates key performance indicators of the G400B automatic labeling machine, namely time availability rate, performance efficiency rate, qualified product rate, overall equipment effectiveness (OEE), and year-on-year growth rate, providing data support for the operation of the G400B automatic labeling machine. The dataset helps ensure the stable operation of the G400B automatic labeling machine and improve its production efficiency. The labeling data of the G400B automatic labeling machine can not only be applied within the enterprise to optimize the operating equipment of the PVC plastic production line and provide procurement guidance, but also help relevant enterprises in manufacturing industries such as home appliances, automobiles, and building materials to deeply understand the operating characteristics of the G400B automatic labeling machine, providing reference value for their equipment procurement work. The algorithm rules include the following aspects: 1. Data Collection: Collect the operating data of the G400B automatic labeling machine, including date, production line name, process name, equipment name, equipment model, theoretical labeling speed, planned load time, load time, downtime, total labeled quantity, and defective quantity. 2. Data Processing: The key indicators are calculated via algorithms as follows: - Time Availability Rate = (Load Time - Downtime) / Load Time * 100% - Performance Efficiency Rate = (Total Labeled Quantity / Theoretical Labeling Speed) / Load Time * 100% - Qualified Product Rate = (Total Labeled Quantity - Defective Quantity) / Total Labeled Quantity * 100% - Overall Equipment Effectiveness (OEE) = Time Availability Rate * Performance Efficiency Rate * Qualified Product Rate - Year-on-Year Growth Rate = (Current Period OEE - Corresponding Period OEE) / Corresponding Period OEE * 100% 3. Data Application: Based on the changes in the data of time availability rate, performance efficiency rate, qualified product rate, OEE, and year-on-year growth rate, the dataset provides data support for the healthy operation of the G400B automatic labeling machine, enables the management department to conduct a comprehensive assessment of the PVC plastic production line, and provides support and data guarantee for the construction of the enterprise's intelligent factory.
创建时间:
2024-07-05
搜集汇总
数据集介绍
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特点
该数据集包含519条G400B自动贴标机的运行效率数据,涵盖时间稼动率、性能稼动率、良品率等关键指标,每年更新一次,主要用于设备运行效率分析和生产效率提升。
以上内容由遇见数据集搜集并总结生成
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