Adaptive EWMA-S(2)control charts with adaptive smoothing parameter

Descripción del Articulo

Memory charts like EWMA-S(2)or CUSUM-S(2)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 shif...

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Detalles Bibliográficos
Autores: Ugaz, Willy, Alonso, Andres M., Sanchez, Ismael
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:20.500.12390/2816
Enlace del recurso:https://hdl.handle.net/20.500.12390/2816
https://doi.org/10.1080/08982112.2020.1776326
Nivel de acceso:acceso abierto
Materia:Safety
Industrial and Manufacturing Engineering
Risk
Reliability and Quality
http://purl.org/pe-repo/ocde/ford#2.11.04
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spelling Publicationrp07609600rp07610600rp07608600Ugaz, WillyAlonso, Andres M.Sanchez, Ismael2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2816https://doi.org/10.1080/08982112.2020.1776326Memory charts like EWMA-S(2)or CUSUM-S(2)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-S-2) 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.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengInforma UK LimitedQUALITY ENGINEERINGinfo:eu-repo/semantics/openAccessSafetyIndustrial and Manufacturing Engineering-1Risk-1Reliability and Quality-1http://purl.org/pe-repo/ocde/ford#2.11.04-1Adaptive EWMA-S(2)control charts with adaptive smoothing parameterinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2816oai:repositorio.concytec.gob.pe:20.500.12390/28162024-05-30 16:11:40.897http://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="f92539dc-5108-4d26-af6c-d0e097bd1a50"> <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-S(2)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> <Authors> <Author> <DisplayName>Ugaz, Willy</DisplayName> <Person id="rp07609" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Alonso, Andres M.</DisplayName> <Person id="rp07610" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Sanchez, Ismael</DisplayName> <Person id="rp07608" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Informa UK Limited</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Safety</Keyword> <Keyword>Industrial and Manufacturing Engineering</Keyword> <Keyword>Risk</Keyword> <Keyword>Reliability and Quality</Keyword> <Abstract>Memory charts like EWMA-S(2)or CUSUM-S(2)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-S-2) 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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
dc.title.none.fl_str_mv Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
title Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
spellingShingle Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
Ugaz, Willy
Safety
Industrial and Manufacturing Engineering
Risk
Reliability and Quality
http://purl.org/pe-repo/ocde/ford#2.11.04
title_short Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
title_full Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
title_fullStr Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
title_full_unstemmed Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
title_sort Adaptive EWMA-S(2)control charts with adaptive smoothing parameter
author Ugaz, Willy
author_facet Ugaz, Willy
Alonso, Andres M.
Sanchez, Ismael
author_role author
author2 Alonso, Andres M.
Sanchez, Ismael
author2_role author
author
dc.contributor.author.fl_str_mv Ugaz, Willy
Alonso, Andres M.
Sanchez, Ismael
dc.subject.none.fl_str_mv Safety
topic Safety
Industrial and Manufacturing Engineering
Risk
Reliability and Quality
http://purl.org/pe-repo/ocde/ford#2.11.04
dc.subject.es_PE.fl_str_mv Industrial and Manufacturing Engineering
Risk
Reliability and Quality
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#2.11.04
description Memory charts like EWMA-S(2)or CUSUM-S(2)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-S-2) 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.
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/20.500.12390/2816
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1080/08982112.2020.1776326
url https://hdl.handle.net/20.500.12390/2816
https://doi.org/10.1080/08982112.2020.1776326
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 Informa UK Limited
publisher.none.fl_str_mv Informa UK Limited
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_ 1844883131605188608
score 13.983444
Adaptive EWMA-S(2)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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