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

^*Corresponding author for this work

School of Statistics

Research output: Contribution to journal › Article › peer-review

63 Scopus citations

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.

Original language	English
Pages (from-to)	901-920
Number of pages	20
Journal	Communications in Statistics Part B: Simulation and Computation
Volume	36
Issue number	4
DOIs	https://doi.org/10.1080/03610910701418465
State	Published - Jul 2007

Keywords

Average run length
Markov chain
Statistical process control

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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 - Shu, Lianjie

AU - Jiang, Wei

AU - Wu, Shujin

PY - 2007/7

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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.

KW - Average run length

KW - Markov chain

KW - Statistical process control

UR - https://www.scopus.com/pages/publications/34547421329

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JO - Communications in Statistics Part B: Simulation and Computation

JF - Communications in Statistics Part B: Simulation and Computation

IS - 4

ER -

A one-sided EWMA control chart for monitoring process means

Abstract

Keywords

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