Applications Residual Control Charts Based on Variable Limits

Detalhes bibliográficos
Autor(a) principal: Souza, F. M.
Data de Publicação: 2015
Outros Autores: Souza, A.M., Zanini, R.R., REICHERT, B., LIMA JUNIOR, A. V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.26/48791
Resumo: The main purpose of this paper is to verify the stability of a productive process in the presence of the effects of autocorrelation and volatility, in order to capture these characteristics by a joint forecast model which produces residuals that are evaluated by a control chart based on variable control limits. The methodology employed will be the joint estimation of the residuals by ARIMA – ARCH models and the conditional standard deviation from residuals to establish the chart control limits. The joint AR (1)-ARCH (1) model shows that an appropriate forecasting model brings a great contribution to the performance of residual control charts in monitoring the stability of industrial variables using just one chart to monitor mean and variance together.
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spelling Applications Residual Control Charts Based on Variable LimitsThe main purpose of this paper is to verify the stability of a productive process in the presence of the effects of autocorrelation and volatility, in order to capture these characteristics by a joint forecast model which produces residuals that are evaluated by a control chart based on variable control limits. The methodology employed will be the joint estimation of the residuals by ARIMA – ARCH models and the conditional standard deviation from residuals to establish the chart control limits. The joint AR (1)-ARCH (1) model shows that an appropriate forecasting model brings a great contribution to the performance of residual control charts in monitoring the stability of industrial variables using just one chart to monitor mean and variance together.Repositório ComumSouza, F. M.Souza, A.M.Zanini, R.R.REICHERT, B.LIMA JUNIOR, A. V.Souza, F. M.2024-01-10T11:45:31Z20152024-01-09T19:00:31Z2015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/48791eng2248-9622cv-prod-3033475info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-14T03:15:58Zoai:comum.rcaap.pt:10400.26/48791Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:44:26.857906Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Applications Residual Control Charts Based on Variable Limits
title Applications Residual Control Charts Based on Variable Limits
spellingShingle Applications Residual Control Charts Based on Variable Limits
Souza, F. M.
title_short Applications Residual Control Charts Based on Variable Limits
title_full Applications Residual Control Charts Based on Variable Limits
title_fullStr Applications Residual Control Charts Based on Variable Limits
title_full_unstemmed Applications Residual Control Charts Based on Variable Limits
title_sort Applications Residual Control Charts Based on Variable Limits
author Souza, F. M.
author_facet Souza, F. M.
Souza, A.M.
Zanini, R.R.
REICHERT, B.
LIMA JUNIOR, A. V.
author_role author
author2 Souza, A.M.
Zanini, R.R.
REICHERT, B.
LIMA JUNIOR, A. V.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Souza, F. M.
Souza, A.M.
Zanini, R.R.
REICHERT, B.
LIMA JUNIOR, A. V.
Souza, F. M.
description The main purpose of this paper is to verify the stability of a productive process in the presence of the effects of autocorrelation and volatility, in order to capture these characteristics by a joint forecast model which produces residuals that are evaluated by a control chart based on variable control limits. The methodology employed will be the joint estimation of the residuals by ARIMA – ARCH models and the conditional standard deviation from residuals to establish the chart control limits. The joint AR (1)-ARCH (1) model shows that an appropriate forecasting model brings a great contribution to the performance of residual control charts in monitoring the stability of industrial variables using just one chart to monitor mean and variance together.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2024-01-10T11:45:31Z
2024-01-09T19:00:31Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/48791
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dc.language.iso.fl_str_mv eng
language eng
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