A one-sided EWMA control chart for monitoring process means

Lianjie Shu; Wei Jiang; Shujin Wu

doi:10.1080/03610910701418465

A one-sided EWMA control chart for monitoring process means

Lianjie Shu^*
, Wei Jiang
, Shujin Wu

^*此作品的通讯作者

统计学院

University of Macau
Stevens Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

64 引用（Scopus）

摘要

Great efforts have been devoted to two-sided exponentially weighted moving average (EWMA) control charts, while less attention has been paid to one-sided EWMA charts. This article proposes an improved one-sided EWMA chart (IEWMA) for rapid detection of upward or downward changes in the process mean. The basic idea is to accumulate positive (or negative) observations only and reset negative (or positive) observations to zero in the iterative computation of the EWMA estimate for the purpose of quickly catching the upward (or downward) change in the process mean. The comparison result of the IEWMA chart with other control charts favors the former.

源语言	英语
页（从-至）	901-920
页数	20
期刊	Communications in Statistics Part B: Simulation and Computation
卷	36
期	4
DOI	https://doi.org/10.1080/03610910701418465
出版状态	已出版 - 7月 2007

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10.1080/03610910701418465

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title = "A one-sided EWMA control chart for monitoring process means",

abstract = "Great efforts have been devoted to two-sided exponentially weighted moving average (EWMA) control charts, while less attention has been paid to one-sided EWMA charts. This article proposes an improved one-sided EWMA chart (IEWMA) for rapid detection of upward or downward changes in the process mean. The basic idea is to accumulate positive (or negative) observations only and reset negative (or positive) observations to zero in the iterative computation of the EWMA estimate for the purpose of quickly catching the upward (or downward) change in the process mean. The comparison result of the IEWMA chart with other control charts favors the former.",

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AU - Jiang, Wei

AU - Wu, Shujin

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N2 - Great efforts have been devoted to two-sided exponentially weighted moving average (EWMA) control charts, while less attention has been paid to one-sided EWMA charts. This article proposes an improved one-sided EWMA chart (IEWMA) for rapid detection of upward or downward changes in the process mean. The basic idea is to accumulate positive (or negative) observations only and reset negative (or positive) observations to zero in the iterative computation of the EWMA estimate for the purpose of quickly catching the upward (or downward) change in the process mean. The comparison result of the IEWMA chart with other control charts favors the former.

AB - Great efforts have been devoted to two-sided exponentially weighted moving average (EWMA) control charts, while less attention has been paid to one-sided EWMA charts. This article proposes an improved one-sided EWMA chart (IEWMA) for rapid detection of upward or downward changes in the process mean. The basic idea is to accumulate positive (or negative) observations only and reset negative (or positive) observations to zero in the iterative computation of the EWMA estimate for the purpose of quickly catching the upward (or downward) change in the process mean. The comparison result of the IEWMA chart with other control charts favors the former.

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KW - Markov chain

KW - Statistical process control

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JF - Communications in Statistics Part B: Simulation and Computation

IS - 4

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A one-sided EWMA control chart for monitoring process means

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