MR-Q3-600CE设备运行效率数据

通过对MR-Q3-600CE潜伏式智能AGV的材料搬运数据进行统计分析，了解日期、产线名称、工序名称、设备名称、设备型号、理论运行速度、计划负荷时间、负荷时间、停机时间、搬运总行程、不合格行程等产线生产数据，分析MR-Q3-600CE潜伏式智能AGV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MR-Q3-600CE潜伏式智能AGV的运行提供数据支撑，在确保MR-Q3-600CE潜伏式智能AGV稳定运行的基础上，提高MR-Q3-600CE潜伏式智能AGV生产效率。MR-Q3-600CE潜伏式智能AGV的材料搬运数据，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MR-Q3-600CE潜伏式智能AGV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MR-Q3-600CE潜伏式智能AGV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、理论运行速度、计划负荷时间、负荷时间、停机时间、搬运总行程、不合格行程。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=（搬运总行程/理论运行速度）/负荷时间*100%；良品率=（搬运总行程-不合格行程）/搬运总行程*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MR-Q3-600CE潜伏式智能AGV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 material handling data of the MR-Q3-600CE lurking-type intelligent AGV, collecting and analyzing production-related data including date, production line name, process name, equipment name, equipment model, theoretical operating speed, planned load time, actual load time, downtime, total handling distance, and unqualified handling distance. It calculates core operational indicators of the MR-Q3-600CE lurking-type intelligent AGV, namely time availability rate, performance rate, quality rate, overall equipment effectiveness (OEE), and year-on-year growth rate, providing data support for the operation of the AGV and aiming to improve its production efficiency while ensuring its stable operation.

The material handling data of the MR-Q3-600CE lurking-type intelligent AGV can be applied not only within the enterprise to provide optimization and procurement guidance for the operating equipment of PVC plastic production lines, but also help relevant enterprises in home appliance, automobile, building materials and other industries to deeply understand the operating characteristics of the MR-Q3-600CE lurking-type intelligent AGV, offering reference value for their equipment procurement work.

The algorithm rules of this dataset include the following three aspects:
1. Data Collection: Collect the operating data of the MR-Q3-600CE lurking-type intelligent AGV, including date, production line name, process name, equipment name, equipment model, theoretical operating speed, planned load time, actual load time, downtime, total handling distance, and unqualified handling distance.
2. Data Processing: Calculate the indicators via the following standardized formulas:
- Time Availability Rate = (Actual Load Time - Downtime) / Actual Load Time × 100%
- Performance Rate = (Total Handling Distance / Theoretical Operating Speed) / Actual Load Time × 100%
- Quality Rate = (Total Handling Distance - Unqualified Handling Distance) / Total Handling Distance × 100%
- Overall Equipment Effectiveness (OEE) = Time Availability Rate × Performance Rate × Quality 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 rate, quality rate, OEE and year-on-year growth rate, provide data support for the healthy and stable operation of the MR-Q3-600CE lurking-type intelligent AGV, 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.

搜集汇总

数据集介绍

特点

该数据集记录了MR-Q3-600CE潜伏式智能AGV设备的运行效率数据，包含300条记录，每年更新一次。数据涵盖了设备的运行时间、效率、良品率等关键指标，适用于制造业企业优化设备运行效率，并为相关行业提供设备采购参考。