期刊论文详细信息
Frontiers in Applied Mathematics and Statistics
Efficiency enhancement of the modified EWMA control method with conditional expected delay for change detection in processes
Applied Mathematics and Statistics
Nasrullah Khan1  Muhammad Aslam2  Mohammed Albassam2 
[1] College of Statistical Sciences, University of the Punjab, Lahore, Pakistan;Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia;
关键词: quality control;    simulation;    EWMA statistic;    efficiency;    control chart;   
DOI  :  10.3389/fams.2023.1268340
 received in 2023-07-27, accepted in 2023-08-29,  发布年份 2023
来源: Frontiers
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【 摘 要 】

This study investigates the efficiency of a modified exponentially weighted moving average (EWMA) control method using conditional expected delay to improve its efficiency in detecting changes in a process over time. While the modified EWMA control method is commonly used for this purpose, it can sometimes experience delays in detecting changes. The proposed method aims to address this limitation by incorporating conditional expected delay. The study utilizes simulations to conduct a performance comparison between the modified EWMA control method and the conventional EWMA control, employing the metric of conditional expected delay. Simulation results demonstrate the modified EWMA control method with conditional expected delay in terms of accurately and rapidly detecting changes. Overall, this study concludes that the integration of conditional expected delay into the modified EWMA control method can increase its effectiveness in detecting changes in a process. This has significant practical implications for a variety of industries that require timely and accurate detection of changes to maintain product quality and optimize processes.

【 授权许可】

Unknown   
Copyright © 2023 Khan, Aslam and Albassam.

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