SS2-200型冲压设备的运行效率数据
收藏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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通过对SS2-200型冲压设备的加工数据进行统计分析,了解日期、产线名称、工序名称、设备名称、设备型号、理论加工速度、计划负荷时间、负荷时间、停机时间、加工总量、不合格产品量等产线生产数据,分析SS2-200型冲压设备的时间稼动率、性能稼动率、良品率、设备综合效率,为SS2-200型冲压设备的运行提供数据支撑,在确保SS2-200型冲压设备稳定运行的基础上,提高SS2-200型冲压设备生产效率。SS2-200型冲压设备的产品加工数据,不仅能应用于企业内部,针对环形工件产线的运行设备进行优化和采购指导,也能帮助家电、汽车、建材等行业的相关企业深入的了解SS2-200型冲压设备的工作特性,对该企业的相关设备采购工作提供参考价值。
提供关于设备综合效率(Overall Equipment Effectiveness,OEE)数值的分类标准,可以参考以下分类方法:
优良:OEE ≥ 85%
良好:70% ≤ OEE < 85%
合格:50% ≤ OEE < 70%
不合格:OEE < 50%算法规则包括以下几个方面:1.数据采集:通过对SS2-200型冲压设备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、理论加工速度、计划负荷时间、负荷时间、停机时间、加工总量、不合格产品量。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=(加工总量/理论加工速度)/负荷时间*100%;良品率=(加工总量-不合格产品量)/加工总量*100%;设备综合效率=时间稼动率*性能稼动率*良品率。3.数据应用:根据时间稼动率、性能稼动率、良品率以及设备综合效率相关数据变化,为SS2-200型冲压设备设备健康运行提供数据支撑,便于管理部门对环形工件产线进行全面评估,为企业智能化工厂的建设提供支持和数据保障。
By conducting statistical analysis on the processing data of the SS2-200 stamping press, this dataset collects and organizes production line data including date, production line name, process name, equipment name, equipment model, theoretical processing speed, scheduled load time, load time, downtime, total processed quantity, and quantity of non-conforming products. It analyzes the time availability rate, performance efficiency rate, qualified product rate, and overall equipment effectiveness (OEE) of the SS2-200 stamping press, providing data support for the operation of the equipment. On the basis of ensuring the stable operation of the SS2-200 stamping press, it aims to improve the production efficiency of the equipment.
The product processing data of the SS2-200 stamping press can not only be applied within the enterprise to optimize the operating equipment of the annular workpiece production line and provide procurement guidance, but also help relevant enterprises in home appliance, automotive, building materials and other industries deeply understand the operating characteristics of the SS2-200 stamping press, providing reference value for the equipment procurement work of these enterprises.
The classification criteria for Overall Equipment Effectiveness (OEE) values are provided below, referring to the following classification method:
- Excellent: OEE ≥ 85%
- Good: 70% ≤ OEE < 85%
- Qualified: 50% ≤ OEE < 70%
- Unqualified: OEE < 50%
Algorithmic rules include the following aspects:
1. Data Collection: Collect the operating data of the SS2-200 stamping press, including date, production line name, process name, equipment name, equipment model, theoretical processing speed, scheduled load time, load time, downtime, total processed quantity, and quantity of non-conforming products.
2. Data Processing: Calculate via algorithms as follows:
- Time Availability Rate = (Load Time - Downtime) / Load Time × 100%
- Performance Efficiency Rate = (Total Processed Quantity / Theoretical Processing Speed) / Load Time × 100%
- Qualified Product Rate = (Total Processed Quantity - Quantity of Non-conforming Products) / Total Processed Quantity × 100%
- Overall Equipment Effectiveness (OEE) = Time Availability Rate × Performance Efficiency Rate × Qualified Product Rate
3. Data Application: Based on the changes in the data related to time availability rate, performance efficiency rate, qualified product rate, and OEE, provide data support for the healthy operation of the SS2-200 stamping press, facilitate the comprehensive evaluation of the annular workpiece production line by the management department, and provide support and data guarantee for the construction of the enterprise's intelligent factory.
提供机构:
浙江大齐机械有限公司
创建时间:
2024-07-11
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