Adaptive EWMA-S2 control charts with adaptive smoothing parameter

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Memory charts like EWMA-S2 or CUSUM-S2 are designed to detect a particular change in the process variance efficiently. However, the charts could be inefficient to detect some other shifts. To overcome this constraint, control charts with adaptive schemes that are efficient for a wide range of shifts...

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Detalles Bibliográficos
Autores: Ugaz W., Alonso A.M., Sánchez I.
Formato: artículo
Fecha de Publicación:2020
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2639
Enlace del recurso:https://hdl.handle.net/20.500.12390/2639
https://doi.org/10.1080/08982112.2020.1776326
Nivel de acceso:acceso abierto
Materia:statistical process control
Adaptive control charts
average run length
CUSUM
EWMA
http://purl.org/pe-repo/ocde/ford#1.01.01
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spelling Publicationrp06812600rp06813600rp06811600Ugaz W.Alonso A.M.Sánchez I.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2639https://doi.org/10.1080/08982112.2020.17763262-s2.0-85089001263Memory charts like EWMA-S2 or CUSUM-S2 are designed to detect a particular change in the process variance efficiently. However, the charts could be inefficient to detect some other shifts. To overcome this constraint, control charts with adaptive schemes that are efficient for a wide range of shifts can be used. This work proposes new adaptive EWMA charts for the dispersion (AEWMA-S2) based on an adaptive smoothing parameter that relates its value to the potential shift of the process. A Markov chain approach is used to optimize its design. A simulation experiment shows the advantage of the proposed charts. © 2020 Taylor & Francis Group, LLC.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengBellwether Publishing, Ltd.Quality Engineeringinfo:eu-repo/semantics/openAccessstatistical process controlAdaptive control charts-1average run length-1CUSUM-1EWMA-1http://purl.org/pe-repo/ocde/ford#1.01.01-1Adaptive EWMA-S2 control charts with adaptive smoothing parameterinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2639oai:repositorio.concytec.gob.pe:20.500.12390/26392024-05-30 16:10:05.924http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="5bcba776-86d6-469e-8e0d-ff40c303a333"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Adaptive EWMA-S2 control charts with adaptive smoothing parameter</Title> <PublishedIn> <Publication> <Title>Quality Engineering</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1080/08982112.2020.1776326</DOI> <SCP-Number>2-s2.0-85089001263</SCP-Number> <Authors> <Author> <DisplayName>Ugaz W.</DisplayName> <Person id="rp06812" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Alonso A.M.</DisplayName> <Person id="rp06813" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Sánchez I.</DisplayName> <Person id="rp06811" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Bellwether Publishing, Ltd.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>statistical process control</Keyword> <Keyword>Adaptive control charts</Keyword> <Keyword>average run length</Keyword> <Keyword>CUSUM</Keyword> <Keyword>EWMA</Keyword> <Abstract>Memory charts like EWMA-S2 or CUSUM-S2 are designed to detect a particular change in the process variance efficiently. However, the charts could be inefficient to detect some other shifts. To overcome this constraint, control charts with adaptive schemes that are efficient for a wide range of shifts can be used. This work proposes new adaptive EWMA charts for the dispersion (AEWMA-S2) based on an adaptive smoothing parameter that relates its value to the potential shift of the process. A Markov chain approach is used to optimize its design. A simulation experiment shows the advantage of the proposed charts. © 2020 Taylor &amp; Francis Group, LLC.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
dc.title.none.fl_str_mv Adaptive EWMA-S2 control charts with adaptive smoothing parameter
title Adaptive EWMA-S2 control charts with adaptive smoothing parameter
spellingShingle Adaptive EWMA-S2 control charts with adaptive smoothing parameter
Ugaz W.
statistical process control
Adaptive control charts
average run length
CUSUM
EWMA
http://purl.org/pe-repo/ocde/ford#1.01.01
title_short Adaptive EWMA-S2 control charts with adaptive smoothing parameter
title_full Adaptive EWMA-S2 control charts with adaptive smoothing parameter
title_fullStr Adaptive EWMA-S2 control charts with adaptive smoothing parameter
title_full_unstemmed Adaptive EWMA-S2 control charts with adaptive smoothing parameter
title_sort Adaptive EWMA-S2 control charts with adaptive smoothing parameter
author Ugaz W.
author_facet Ugaz W.
Alonso A.M.
Sánchez I.
author_role author
author2 Alonso A.M.
Sánchez I.
author2_role author
author
dc.contributor.author.fl_str_mv Ugaz W.
Alonso A.M.
Sánchez I.
dc.subject.none.fl_str_mv statistical process control
topic statistical process control
Adaptive control charts
average run length
CUSUM
EWMA
http://purl.org/pe-repo/ocde/ford#1.01.01
dc.subject.es_PE.fl_str_mv Adaptive control charts
average run length
CUSUM
EWMA
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.01.01
description Memory charts like EWMA-S2 or CUSUM-S2 are designed to detect a particular change in the process variance efficiently. However, the charts could be inefficient to detect some other shifts. To overcome this constraint, control charts with adaptive schemes that are efficient for a wide range of shifts can be used. This work proposes new adaptive EWMA charts for the dispersion (AEWMA-S2) based on an adaptive smoothing parameter that relates its value to the potential shift of the process. A Markov chain approach is used to optimize its design. A simulation experiment shows the advantage of the proposed charts. © 2020 Taylor & Francis Group, LLC.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2639
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1080/08982112.2020.1776326
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85089001263
url https://hdl.handle.net/20.500.12390/2639
https://doi.org/10.1080/08982112.2020.1776326
identifier_str_mv 2-s2.0-85089001263
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Quality Engineering
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Bellwether Publishing, Ltd.
publisher.none.fl_str_mv Bellwether Publishing, Ltd.
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1844883108004888576
score 13.325717
Adaptive EWMA-S2 control charts with adaptive smoothing parameter
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

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