SKLM01数控龙门机床运行情况分析数据

通过对SKLM01数控龙门机床的加工数据进行统计分析，了解日期、工作令号、部件名称、生产编号、机床编号、加工性质、计划时间、实际开始时间、实际结束时间、加工数量、不合格数量等产线生产数据，分析SKLM01数控龙门机床的时间偏差、合格率、加工效率，通过时间偏差可以评估任务的执行效率、识别潜在的问题区域，并据此调整未来的计划，通过合格率和加工效率了解机床的加工效能和运行稳定性，为机床的后期优化运行提供数据支撑。这些数据，不仅能应用于企业内部，针对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SKLM01数控龙门机床的工作特性，对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SKLM01数控龙门机床的加工数据进行采集，包括日期、工作令号、部件名称、生产编号、机床编号、加工性质、计划时间、实际开始时间、实际结束时间、加工数量、不合格数量。2.数据处理：通过算法计算可知，实际完工时间=实际结束时间-实际开始时间；时间偏差=实际完工时间-计划完工时间；合格率=（加工数量-不合格量）/加工总量*100%；加工效率=加工数量/加工时间*100%。3.数据应用：通过时间偏差可以评估任务的执行效率、识别潜在的问题区域，并据此调整未来的计划，通过合格率和加工效率了解机床的加工效能和运行稳定性，为机床的后期优化运行提供数据支撑。便于管理部门对产线进行全面评估，为企业智能化工厂的建设提供支持和数据保障。

Through statistical analysis of the machining data of the SKLM01 CNC gantry machine tool, we obtain production line data covering date, work order number, component name, production serial number, machine tool number, machining nature, planned time, actual start time, actual end time, machined quantity, non-conforming quantity and other indicators, and analyze the time deviation, qualified rate and machining efficiency of the SKLM01 CNC gantry machine tool. Time deviation can be used to evaluate task execution efficiency, identify potential problem areas, and adjust future plans accordingly; qualified rate and machining efficiency help understand the machining performance and operational stability of the machine tool, providing data support for the subsequent optimized operation of the machine tool. This dataset can not only be applied within enterprises to optimize production line equipment and guide procurement, but also help relevant enterprises in home appliances, automotive, building materials and other industries to deeply understand the operating characteristics of the SKLM01 CNC gantry machine tool, providing reference value for their equipment procurement work. The algorithm rules include the following aspects: 1. Data Collection: Collect the machining data of the SKLM01 CNC gantry machine tool, including date, work order number, component name, production serial number, machine tool number, machining nature, planned time, actual start time, actual end time, machined quantity and non-conforming quantity. 2. Data Processing: Through algorithmic calculation: Actual Completion Time = Actual End Time - Actual Start Time; Time Deviation = Actual Completion Time - Planned Completion Time; Qualified Rate = (Machined Quantity - Non-conforming Quantity) / Total Machined Quantity * 100%; Machining Efficiency = Machined Quantity / Machining Time * 100%. 3. Data Application: Time deviation can be used to evaluate task execution efficiency, identify potential problem areas, and adjust future plans accordingly; qualified rate and machining efficiency help understand the machining performance and operational stability of the machine tool, providing data support for the subsequent optimized operation of the machine tool. This facilitates the comprehensive evaluation of the production line by the management department, and provides 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SKLM01数控龙门机床的运行情况，包含555条数据，涵盖日期、工作令号、部件名称等多个字段，主要用于分析机床的执行效率、加工效能和运行稳定性，为优化运行提供数据支持。