A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART

The exponentially weighted moving average chart (EWMA) is widely employed in quality control to monitor a process or to evaluate historic data. EWMA charts are designed to exhibit acceptable average run lengths both when the process is in and out of control. This paper introduces a functional techni...

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Bibliographic Details
Main Author:	Mike Cox
Format:	Article
Language:	English
Published:	Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2010-09-01
Series:	International Journal for Quality Research
Subjects:	ARL average run length EWMA chart Exponentially Weighted Moving Average chart neural network parameter estimation SPC statistical process control
Online Access:	http://www.ijqr.net/journal/v4-n3/1.pdf

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spelling	doaj-814a37d4a71b48bca422569470cd813e2021-03-02T07:07:04ZengCenter for Quality, Faculty of Engineering, University of Kragujevac, SerbiaInternational Journal for Quality Research1800-64501800-74732010-09-0143171180A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHARTMike Cox0School of Psychology. Newcastle University, Newcastle upon Tyne, NE1 7RU, EnglandThe exponentially weighted moving average chart (EWMA) is widely employed in quality control to monitor a process or to evaluate historic data. EWMA charts are designed to exhibit acceptable average run lengths both when the process is in and out of control. This paper introduces a functional technique for generating the parameters λ and Δ for such a chart that will have specified average run lengths. The parameters are estimated using regression plus an artificial neural network.http://www.ijqr.net/journal/v4-n3/1.pdfARLaverage run lengthEWMA chartExponentially Weighted Moving Average chartneural networkparameter estimationSPCstatistical process control
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Mike Cox
spellingShingle	Mike Cox A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART International Journal for Quality Research ARL average run length EWMA chart Exponentially Weighted Moving Average chart neural network parameter estimation SPC statistical process control
author_facet	Mike Cox
author_sort	Mike Cox
title	A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART
title_short	A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART
title_full	A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART
title_fullStr	A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART
title_full_unstemmed	A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART
title_sort	numerical method for modelling the parameters λ and δ of an ewma chart
publisher	Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia
series	International Journal for Quality Research
issn	1800-6450 1800-7473
publishDate	2010-09-01
description	The exponentially weighted moving average chart (EWMA) is widely employed in quality control to monitor a process or to evaluate historic data. EWMA charts are designed to exhibit acceptable average run lengths both when the process is in and out of control. This paper introduces a functional technique for generating the parameters λ and Δ for such a chart that will have specified average run lengths. The parameters are estimated using regression plus an artificial neural network.
topic	ARL average run length EWMA chart Exponentially Weighted Moving Average chart neural network parameter estimation SPC statistical process control
url	http://www.ijqr.net/journal/v4-n3/1.pdf
work_keys_str_mv	AT mikecox anumericalmethodformodellingtheparameterslanddofanewmachart AT mikecox numericalmethodformodellingtheparameterslanddofanewmachart
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A NUMERICAL METHOD FOR MODELLING THE PARAMETERS Λ AND Δ OF AN EWMA CHART

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