HMD268M8-S注塑机的运行效率数据
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通过对HMD268M8-S华美达注塑机的注塑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、理论生产速率、计划负荷时间、负荷时间、停机时间、产品加工总数、不良品数量等产线生产数据，分析HMD268M8-S华美达注塑机的时间稼动率、性能稼动率、良品率、设备综合效率、同比增长率，为HMD268M8-S华美达注塑机的运行提供数据支撑，在确保HMD268M8-S华美达注塑机稳定运行的基础上，提高HMD268M8-S华美达注塑机生产效率。HMD268M8-S华美达注塑机的注塑加工数据，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HMD268M8-S华美达注塑机的工作特性，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HMD268M8-S华美达注塑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、理论生产速率、计划负荷时间、负荷时间、停机时间、产品加工总数、不良品数量。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=（产品加工总数/理论生产速率）/负荷时间*100%；良品率=（产品加工总数-不良品数量）/产品加工总数*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HMD268M8-S华美达注塑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 injection molding processing data of the HMD268M8-S Huameida injection molding machine, collecting and sorting out key production line data including date, production line name, process name, equipment name, equipment model, theoretical production rate, planned load time, actual load time, downtime, total number of processed products, and number of defective products, then calculating core performance indicators such as time availability rate, performance efficiency rate, defect-free yield rate, overall equipment effectiveness (OEE), and year-on-year growth rate for the machine. This work provides data support for the operation of the HMD268M8-S Huameida injection molding machine, and improves its production efficiency while ensuring its stable operation. The injection molding data of the HMD268M8-S Huameida injection molding machine can be applied not only internally within the enterprise to optimize the operating equipment of the PVC plastic production line and provide guidance for equipment procurement, but also help relevant enterprises in home appliances, automotive, building materials and other industries to deeply understand the operating characteristics of this machine, providing reference value for their equipment procurement work. The algorithm rules are as follows: 1. Data Collection: Collect the operating data of the HMD268M8-S Huameida injection molding machine, including date, production line name, process name, equipment name, equipment model, theoretical production rate, planned load time, actual load time, downtime, total number of processed products, and number of defective products. 2. Data Processing: Calculate the indicators via algorithms as specified below: - Time Availability Rate = (Actual Load Time - Downtime) / Actual Load Time × 100% - Performance Efficiency Rate = (Total Number of Processed Products / Theoretical Production Rate) / Actual Load Time × 100% - Defect-free Yield Rate = (Total Number of Processed Products - Number of Defective Products) / Total Number of Processed Products × 100% - Overall Equipment Effectiveness (OEE) = Time Availability Rate × Performance Efficiency Rate × Defect-free Yield 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, defect-free yield rate, OEE and year-on-year growth rate, provide data support for the healthy operation of the HMD268M8-S Huameida injection molding 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.
