控制图
图表
控制限值
休哈特个体控制图
估计
计算机科学
X-条形图
统计
统计过程控制
控制(管理)
估计理论
EWMA图表
过程(计算)
数学
工程类
人工智能
操作系统
系统工程
作者
Willis A. Jensen,L. Allison Jones‐Farmer,Charles W. Champ,William H. Woodall
标识
DOI:10.1080/00224065.2006.11918623
摘要
Control charts are powerful tools used to monitor the quality of processes. In practice, control chart limits are often calculated using parameter estimates from an in-control Phase I reference sample. In Phase II of the monitoring scheme, statistics based on new samples are compared with the estimated control limits to monitor for departures from the in-control state. Many studies that evaluate control chart performance in Phase II rely on the assumption that the in-control parameters are known. Although the additional variability introduced into the monitoring scheme through parameter estimation is known to affect the chart performance, many studies do not consider the effect of estimation on the performance of the chart. This paper contains a review of the literature that explicitly considers the effect of parameter estimation on control chart properties. Some recommendations are made and future research ideas in this area are provided.
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