统计
百分位
多元统计
标准差
控制图
线性回归
校准
控制限值
贝叶斯多元线性回归
数学
计算机科学
过程(计算)
操作系统
作者
Mohammad Hassan Ahmadi Karavigh,Amirhossein Amiri
标识
DOI:10.1080/03610918.2022.2028833
摘要
In this article, three control charts including MEWMA, MEWMA/χ2 and DMEWMA equipped with proposed runs rules schemes, are developed to improve the performance of existing control charts in monitoring multivariate simple linear profiles. Using five criteria of average run length, percentile of the run length, standard deviation of run length, relative mean index and relative standard deviation index the behavior of the suggested control schemes has been assessed. The results of our study demonstrate that the suggested schemes have a better performance compared to current charts for detecting shifts. Ultimately, using an actual calibration application case in the automotive industry, the suggested control charts applicability is depicted.
科研通智能强力驱动
Strongly Powered by AbleSci AI