在有测量误差的情况下,通过辅助信息利用的一般加权移动平均线控制图
Jen-Hsiang Chen1, Kashinath Chatterjee2, Shin-Li Lu3
1Department of Information Management, Shih Chien University Kaohsiung Campus, Kaohsiung City, Taiwan.
PloS one
|September 30, 2025
概括
本研究引入了一个改进的辅助信息基于GWMA与测量误差 (AIB-GWMA-ME) 图表. 新的图表增强了制造过程的监控,通过有效地检测即使有测量错误的小变化.
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
- 制造系统制造系统的制造
背景情况:
- 控制图对于监测制造过程稳定性至关重要.
- 测量误差可以显著损害传统控制图在检测工艺转移时的有效性.
- 现有的方法在存在测量错误时难以保持高灵敏度.
研究的目的:
- 引入改进的一般加权移动平均线 (GWMA) 图表,旨在减轻测量误差的影响.
- 为了开发基于辅助信息的GWMA与测量误差 (AIB-GWMA-ME) 图表.
- 在具有测量误差的制造环境中提高工艺监控的准确性和灵敏性.
主要方法:
- 该研究通过将辅助信息与测量错误调整机制相结合,开发了AIB-GWMA-ME图表统计.
- 考虑了三种不同的测量误差模型:共变量,多次测量和线性增加方差.
- 对AIB-GWMA-ME图表的控制极限被确定为每个模型.
- 使用蒙特卡洛模拟来评估图表的表现,使用平均运行长度 (ARL) 度量.
主要成果:
- 与现有图表相比,AIB-GWMA-ME图表在检测小工艺转移方面表现出更好的灵敏度.
- 使用平均运行长度 (ARL) 的性能评估表明,在存在测量错误的情况下,效果更好.
- 该图表的有效性在三个不同的测量误差模型中得到验证.
结论:
- 在存在测量错误时,AIB-GWMA-ME图表在统计过程控制中提供了显著的进步.
- 这种改进的图表增强了保持制造过程稳定性和质量的能力.
- 在测量错误条件下,AIB-GWMA-ME图表为过程监控提供了比传统的GWMA和EWMA图表更强大的解决方案.
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