NL2-200型浇注机设备的运行效率数据

通过对NL2-200型浇注机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NL2-200型浇注机的时间稼动率、性能稼动率、良品率、设备综合效率，为NL2-200型浇注机的运行提供数据支撑，在确保NL2-200型浇注机稳定运行的基础上，提高NL2-200型浇注机生产效率。NL2-200型浇注机的产品加工数据，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NL2-200型浇注机的工作特性，对该企业的相关设备采购工作提供参考价值。 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NL2-200型浇注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、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NL2-200型浇注机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。This dataset is developed through statistical analysis of the processing data of the NL2-200 pouring machine, covering core production line data including date, production line name, process name, equipment name, equipment model, theoretical processing speed, planned load time, load time, downtime, total processed products, and quantity of non-conforming products. It analyzes the time availability, performance availability, pass rate, and overall equipment effectiveness (OEE) of the NL2-200 pouring machine, providing data support for its stable operation and improving its production efficiency on this basis. The product processing data of the NL2-200 pouring machine can not only be used internally by enterprises to optimize the operating equipment of annular workpiece production lines and provide guidance for equipment procurement, but also help relevant enterprises in home appliances, automotive, building materials and other industries gain an in-depth understanding of the operating characteristics of the NL2-200 pouring machine, offering reference value for their equipment procurement work. A classification standard for Overall Equipment Effectiveness (OEE) values is provided, referring to the following criteria: - Excellent: OEE ≥ 85% - Good: 70% ≤ OEE < 85% - Qualified: 50% ≤ OEE < 70% - Unqualified: OEE < 50% The algorithm rules include the following three aspects: 1. Data Collection: Collect the operating data of the NL2-200 pouring machine, including date, production line name, process name, equipment name, equipment model, theoretical processing speed, planned load time, load time, downtime, total processed products, and quantity of non-conforming products. 2. Data Processing: Calculate the relevant indicators via algorithms as follows: - Time Availability = (Load Time - Downtime) / Load Time × 100% - Performance Availability = (Total Processed Products / Theoretical Processing Speed) / Load Time × 100% - Pass Rate = (Total Processed Products - Quantity of Non-conforming Products) / Total Processed Products × 100% - Overall Equipment Effectiveness = Time Availability × Performance Availability × Pass Rate 3. Data Application: Based on the changes in data related to time availability, performance availability, pass rate and overall equipment effectiveness, provide data support for the healthy and stable operation of the NL2-200 pouring machine, facilitate the management department to conduct a comprehensive assessment of annular workpiece production lines, and provide support and data guarantee for the construction of the enterprise's intelligent factory.

搜集汇总

数据集介绍

特点

该数据集包含500条NL2-200型浇注机设备的运行效率数据，涵盖多个关键生产指标，旨在通过数据分析优化设备运行效率，适用于制造业企业进行设备管理和生产效率提升。