Characterisation and optimal design of a new double sampling c chart

[EN] This paper proposes a new double sampling scheme for c control chart (DS-c), which was designed to improve the performance of c chart or to reduce the inspection cost. The mathematical expression required to do an exact evaluation of ARL and ASN is deduced. Further, a bi-objective genetic algor...

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Detalles Bibliográficos
Autores: Campuzano, Manuel J., Mosquera, Jaime, Carrión García, Andrés|||0000-0002-0953-2500
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/156417
Acceso en línea:https://riunet.upv.es/handle/10251/156417
Access Level:acceso abierto
Palabra clave:Statistical process control
Number of non-conformities
C chart
Double sampling
Optimal design
ESTADISTICA E INVESTIGACION OPERATIVA
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spelling Characterisation and optimal design of a new double sampling c chartCampuzano, Manuel J.Mosquera, JaimeCarrión García, Andrés|||0000-0002-0953-2500Statistical process controlNumber of non-conformitiesC chartDouble samplingOptimal designESTADISTICA E INVESTIGACION OPERATIVA[EN] This paper proposes a new double sampling scheme for c control chart (DS-c), which was designed to improve the performance of c chart or to reduce the inspection cost. The mathematical expression required to do an exact evaluation of ARL and ASN is deduced. Further, a bi-objective genetic algorithm is implemented to obtain the optimal design of the DS-c scheme. This optimisation is aimed to simultaneously minimising the error probability type II and the ASN, guaranteeing a desired level for the error probability type I. A performance comparison between the double sampling (DS), fixed parameters (FP), variable simple size (VSS) and exponential weighted moving average (EWMA) schemes for the c chart is carried out. The comparison shows that with the implementation of DS-c scheme is obtained a significant reduction of the out of control ARL with a lower ASN respect to FP and a better ARL profile than VSS and EWMA.Inderscience Enterprises Ltd.Facultad de Administración y Dirección de EmpresasDepartamento de Estadística e Investigación Operativa Aplicadas y CalidadCentro de Gestión de la Calidad y del CambioRepositorio Institucional de la Universitat Politècnica de València Riunet20192019-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/156417reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1564172026-06-13T07:49:27Z
dc.title.none.fl_str_mv Characterisation and optimal design of a new double sampling c chart
title Characterisation and optimal design of a new double sampling c chart
spellingShingle Characterisation and optimal design of a new double sampling c chart
Campuzano, Manuel J.
Statistical process control
Number of non-conformities
C chart
Double sampling
Optimal design
ESTADISTICA E INVESTIGACION OPERATIVA
title_short Characterisation and optimal design of a new double sampling c chart
title_full Characterisation and optimal design of a new double sampling c chart
title_fullStr Characterisation and optimal design of a new double sampling c chart
title_full_unstemmed Characterisation and optimal design of a new double sampling c chart
title_sort Characterisation and optimal design of a new double sampling c chart
dc.creator.none.fl_str_mv Campuzano, Manuel J.
Mosquera, Jaime
Carrión García, Andrés|||0000-0002-0953-2500
author Campuzano, Manuel J.
author_facet Campuzano, Manuel J.
Mosquera, Jaime
Carrión García, Andrés|||0000-0002-0953-2500
author_role author
author2 Mosquera, Jaime
Carrión García, Andrés|||0000-0002-0953-2500
author2_role author
author
dc.contributor.none.fl_str_mv Facultad de Administración y Dirección de Empresas
Departamento de Estadística e Investigación Operativa Aplicadas y Calidad
Centro de Gestión de la Calidad y del Cambio
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Statistical process control
Number of non-conformities
C chart
Double sampling
Optimal design
ESTADISTICA E INVESTIGACION OPERATIVA
topic Statistical process control
Number of non-conformities
C chart
Double sampling
Optimal design
ESTADISTICA E INVESTIGACION OPERATIVA
description [EN] This paper proposes a new double sampling scheme for c control chart (DS-c), which was designed to improve the performance of c chart or to reduce the inspection cost. The mathematical expression required to do an exact evaluation of ARL and ASN is deduced. Further, a bi-objective genetic algorithm is implemented to obtain the optimal design of the DS-c scheme. This optimisation is aimed to simultaneously minimising the error probability type II and the ASN, guaranteeing a desired level for the error probability type I. A performance comparison between the double sampling (DS), fixed parameters (FP), variable simple size (VSS) and exponential weighted moving average (EWMA) schemes for the c chart is carried out. The comparison shows that with the implementation of DS-c scheme is obtained a significant reduction of the out of control ARL with a lower ASN respect to FP and a better ARL profile than VSS and EWMA.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/156417
url https://riunet.upv.es/handle/10251/156417
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Inderscience Enterprises Ltd.
publisher.none.fl_str_mv Inderscience Enterprises Ltd.
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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