Triple exponentially weighted moving average control chart with measurement error

被引：1
|
作者：
Wang, Jing [1 ]
Arslan, Muhammad [2 ,3 ]
Riaz, Afshan [4 ]
Lone, Showkat Ahmad [5 ]
Gunaime, Nevine M. [5 ]
机构：
[1] Taiyuan Normal Univ, Jinzhong, Peoples R China
[2] Jiangsu Univ, Multan, Pakistan
[3] Inst Southern Punjab, Multan, Pakistan
[4] Univ Sargodha, Sargodha, Punjab, Pakistan
[5] Sudia Elect Univ, Riyadh, Saudi Arabia
来源：
SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期
关键词：
D O I：
10.1038/s41598-023-41761-7
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics. To monitor shifts in process mean and dispersion, Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts are commonly employed. In our research, we investigated the influence of M.E on the Triple Exponentially Weighted Moving Average (TEWMA) control chart. We assessed the performance of the control chart using Average Run Length (ARL) as the evaluation metric. To compute the ARL properties, we adopted the Monte-Carlo simulation method. A comparison section has been made to check the performance efficiency of the control chart with the existing EWMA control chart. The implementation of a control chart on a real data set is also presented.
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收藏
页数：9
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