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政大典藏 > College of Commerce > Department of Statistics > Periodical Articles > Item 140.119/140181

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/140181

Title:	Auxiliary information-based maximum generally weighted moving average chart for simultaneously monitoring process mean and variability
Authors:	楊素芬 Yang, Su-Fen Lu, Shin-Li;Chen, Jen-Hsiang
Contributors:	統計系
Keywords:	auxiliary information;average run length;MaxEWMA chart;MaxGWMA chart;statistical pro-cess control
Date:	2021-12
Issue Date:	2022-05-30 16:03:31 (UTC+8)
Abstract:	An auxiliary information-based (AIB) maximum exponentially weighted moving average (MaxEWMA) chart has been proposed to simultaneously monitor both increases and decreases in the process mean and/or variability, called the AIB-MaxEWMA chart, which is superior to the existing MaxEWMA chart. In this paper, we propose the AIB maximum generally weighted moving average chart, called the AIB-MaxGWMA chart, to further enhance the sensitivity of the AIB-MaxEWMA chart. Numerical simulation studies indicate that the AIB-MaxGWMA chart is sensitive to small shifts in the process mean and/or variability. The performance of the AIB-MaxGWMA chart based on average run lengths (ARLs) also outperforms than its counterparts including AIB-MaxEWMA, MaxGWMA and MaxEWMA charts. An example is used to illustrate the efficiency of the proposed AIB-MaxGWMA chart in detecting small process shifts.
Relation:	Quality and Reliability Engineering International, 37(8), 3242-3261
Data Type:	article
DOI link:	https://doi.org/10.1002/qre.2906
DOI:	10.1002/qre.2906
Appears in Collections:	[Department of Statistics] Periodical Articles

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