在第二阶段评估DEWMA3的性能,以捕捉基于运行规则机制的简单线性配置的变化
Rehan Ahmad Khan Sherwani1, Humaira Qasim1, Shumaila Abbas1
1College of Statistical and Actuarial Sciences, University of the Punjab, Lahore, Pakistan.
Scientific reports
|May 27, 2023
概括
本研究引入了统计过程控制 (SPC) 的新运行规则方案,以检测线性质量配置文件的变化. R2/3 方案在快速准确地识别过程偏差方面表现出卓越的性能.
科学领域:
- 工业工程 工业工程 工业工程
- 统计质量控制 统计质量控制
- 过程监控 过程监控
背景情况:
- 统计过程控制 (SPC) 方法对于随着时间的推移监测过程稳定性至关重要.
- 检测线性质量配置文件的变化,包括斜率和截面,对于保持工艺质量至关重要.
研究的目的:
- 调查线性配置文件中响应和解释变量之间的关系,以增强变化检测.
- 将使用DEWMA统计数据的三种第二阶段方法与新运行规则方案 (R1/1,R2/3,R3/3) 的有效性进行比较.
主要方法:
- 采用解释变量的转换来确保独立的回归估计.
- 使用R-Software中的蒙特卡洛模拟来评估基于平均运行长度 (ARL) 的性能.
- 评估了拦截,斜率和标准偏差的变化检测,考虑到错误报警率.
主要成果:
- 拟议的运行规则方案显著提高了控制结构的检测能力.
- R2/3方案表现出最佳性能,提供快速检测过程偏差.
- 与其他评估方法相比,R2/3方案显示出优越性.
结论:
- 开发的运行规则方案增强了对线性质量配置文件的流程监控.
- 建议使用R2/3方案,因为它具有更高的灵敏度和快速检测不良工艺变化的速度.
- 这些发现通过现实世界的数据应用得到了验证.
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