IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY

Detalhes bibliográficos
Autor(a) principal: da Silva, Hugo De Oliveira Guimarães
Data de Publicação: 2021
Outros Autores: de Almeida, Maria Da Glória Diniz, Barbosa, Luís César Ferreira Motta, Costa, Mariana Cristina Magalhães, da Fonseca, Bernardo Bastos, Santos, Gilberto, Aguilera, Maria Victoria Cabrera, Reis, José Salvador Da Motta [UNESP], Sampaio, Nilo Antonio De Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.24874/IJQR15.04-14
http://hdl.handle.net/11449/223064
Resumo: This abstract presents a case study approach based on qualitative methods and data that aimed a detailed examination of an environment, a particular subject or situation. The objective of this work is to improve the painting process of an automotive company through the application of Statistical Process Control for the optimization of performance indicators quality and productivity. Statistical Process Control is applied to the monitoring of manufacturing industry processes, including automotive manufacturing. The implementation of the SPC in production environments is to improve and control real-time product and process characteristics, quality and productivity is an accepted manufacturing event.
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spelling IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRYAssembly LineCapabilityQuality ManagementQuality ToolsStatistical process controlThis abstract presents a case study approach based on qualitative methods and data that aimed a detailed examination of an environment, a particular subject or situation. The objective of this work is to improve the painting process of an automotive company through the application of Statistical Process Control for the optimization of performance indicators quality and productivity. Statistical Process Control is applied to the monitoring of manufacturing industry processes, including automotive manufacturing. The implementation of the SPC in production environments is to improve and control real-time product and process characteristics, quality and productivity is an accepted manufacturing event.Universidade do Estado do Rio de JaneiroCentro Federal de Educação Tecnológica Celso Suckow da FonsecaESD - Polytechnic Institute of Cavado and AveUniversidade Estadual PaulistaUniversidade Estadual PaulistaUniversidade do Estado do Rio de Janeiro (UERJ)Centro Federal de Educação Tecnológica Celso Suckow da FonsecaESD - Polytechnic Institute of Cavado and AveUniversidade Estadual Paulista (UNESP)da Silva, Hugo De Oliveira Guimarãesde Almeida, Maria Da Glória DinizBarbosa, Luís César Ferreira MottaCosta, Mariana Cristina Magalhãesda Fonseca, Bernardo BastosSantos, GilbertoAguilera, Maria Victoria CabreraReis, José Salvador Da Motta [UNESP]Sampaio, Nilo Antonio De Souza2022-04-28T19:48:23Z2022-04-28T19:48:23Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1245-1262http://dx.doi.org/10.24874/IJQR15.04-14International Journal for Quality Research, v. 15, n. 4, p. 1245-1262, 2021.1800-74731800-6450http://hdl.handle.net/11449/22306410.24874/IJQR15.04-142-s2.0-85121231127Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal for Quality Researchinfo:eu-repo/semantics/openAccess2022-04-28T19:48:23Zoai:repositorio.unesp.br:11449/223064Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:48:23Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
title IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
spellingShingle IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
da Silva, Hugo De Oliveira Guimarães
Assembly Line
Capability
Quality Management
Quality Tools
Statistical process control
title_short IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
title_full IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
title_fullStr IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
title_full_unstemmed IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
title_sort IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
author da Silva, Hugo De Oliveira Guimarães
author_facet da Silva, Hugo De Oliveira Guimarães
de Almeida, Maria Da Glória Diniz
Barbosa, Luís César Ferreira Motta
Costa, Mariana Cristina Magalhães
da Fonseca, Bernardo Bastos
Santos, Gilberto
Aguilera, Maria Victoria Cabrera
Reis, José Salvador Da Motta [UNESP]
Sampaio, Nilo Antonio De Souza
author_role author
author2 de Almeida, Maria Da Glória Diniz
Barbosa, Luís César Ferreira Motta
Costa, Mariana Cristina Magalhães
da Fonseca, Bernardo Bastos
Santos, Gilberto
Aguilera, Maria Victoria Cabrera
Reis, José Salvador Da Motta [UNESP]
Sampaio, Nilo Antonio De Souza
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Estado do Rio de Janeiro (UERJ)
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
ESD - Polytechnic Institute of Cavado and Ave
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv da Silva, Hugo De Oliveira Guimarães
de Almeida, Maria Da Glória Diniz
Barbosa, Luís César Ferreira Motta
Costa, Mariana Cristina Magalhães
da Fonseca, Bernardo Bastos
Santos, Gilberto
Aguilera, Maria Victoria Cabrera
Reis, José Salvador Da Motta [UNESP]
Sampaio, Nilo Antonio De Souza
dc.subject.por.fl_str_mv Assembly Line
Capability
Quality Management
Quality Tools
Statistical process control
topic Assembly Line
Capability
Quality Management
Quality Tools
Statistical process control
description This abstract presents a case study approach based on qualitative methods and data that aimed a detailed examination of an environment, a particular subject or situation. The objective of this work is to improve the painting process of an automotive company through the application of Statistical Process Control for the optimization of performance indicators quality and productivity. Statistical Process Control is applied to the monitoring of manufacturing industry processes, including automotive manufacturing. The implementation of the SPC in production environments is to improve and control real-time product and process characteristics, quality and productivity is an accepted manufacturing event.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-28T19:48:23Z
2022-04-28T19:48:23Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.24874/IJQR15.04-14
International Journal for Quality Research, v. 15, n. 4, p. 1245-1262, 2021.
1800-7473
1800-6450
http://hdl.handle.net/11449/223064
10.24874/IJQR15.04-14
2-s2.0-85121231127
url http://dx.doi.org/10.24874/IJQR15.04-14
http://hdl.handle.net/11449/223064
identifier_str_mv International Journal for Quality Research, v. 15, n. 4, p. 1245-1262, 2021.
1800-7473
1800-6450
10.24874/IJQR15.04-14
2-s2.0-85121231127
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal for Quality Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1245-1262
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964668096151552

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