HF-1C模具水路清洗机的运行效率数据

通过对HF-1C模具水路清洗机的模具清洗数据进行统计分析，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、摸具清洗总量、不合格量等产线生产数据，分析HF-1C模具水路清洗机的时间稼动率、性能稼动率、良品率、设备综合效率、同比增长率，为HF-1C模具水路清洗机的运行提供数据支撑，在确保HF-1C模具水路清洗机稳定运行的基础上，提高HF-1C模具水路清洗机生产效率。HF-1C模具水路清洗机的模具清洗数据，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、建材等行业的相关企业深入的了解HF-1C模具水路清洗机的工作特性，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HF-1C模具水路清洗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、理论加工速度、计划负荷时间、负荷时间、停机时间、摸具清洗总量、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=（摸具清洗总量/理论加工速度）/负荷时间*100%；良品率=（摸具清洗总量-不合格量）/摸具清洗总量*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HF-1C模具水路清洗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。

Based on the statistical analysis of mold cleaning data from the HF-1C mold water channel cleaning machine, this dataset covers production line operation data including date, production line name, process name, equipment name, equipment model, theoretical processing speed, planned load time, actual load time, downtime, total mold cleanings, and non-conforming quantities. It analyzes key indicators such as time utilization rate, performance utilization rate, qualified product rate, overall equipment effectiveness (OEE), and year-on-year growth rate for the HF-1C mold water channel cleaning machine, providing data support for its operation and improving its production efficiency while ensuring stable operation.

The mold cleaning data of the HF-1C mold water channel cleaning machine can not only be applied within the enterprise to optimize the operating equipment of PVC plastic production lines and provide guidance for equipment procurement, but also help relevant enterprises in home appliances, automotive, building materials and other industries gain in-depth understanding of the operating characteristics of the HF-1C mold water channel cleaning 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 HF-1C mold water channel cleaning machine, including date, production line name, process name, equipment name, equipment model, theoretical processing speed, planned load time, actual load time, downtime, total mold cleanings, and non-conforming quantities.
2. Data Processing: Calculate the indicators via algorithms as follows:
- Time Utilization Rate = (Actual Load Time - Downtime) / Actual Load Time * 100%
- Performance Utilization Rate = (Total Mold Cleanings / Theoretical Processing Speed) / Actual Load Time * 100%
- Qualified Product Rate = (Total Mold Cleanings - Non-Conforming Quantities) / Total Mold Cleanings * 100%
- Overall Equipment Effectiveness (OEE) = Time Utilization Rate * Performance Utilization Rate * Qualified Product Rate
- Year-on-Year Growth Rate = (Current Period OEE - Prior Year Corresponding Period OEE) / Prior Year Corresponding Period OEE * 100%
3. Data Application: Based on the changes in the data of time utilization rate, performance utilization rate, qualified product rate, overall equipment effectiveness and year-on-year growth rate, provide data support for the healthy operation of the HF-1C mold water channel cleaning machine, facilitate the management department to conduct a comprehensive assessment of the PVC plastic production line, and provide support and data guarantee for the construction of the enterprise's intelligent factory.