IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY
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 Pro...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia
2021-12-01
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| Series: | International Journal for Quality Research |
| Subjects: | |
| Online Access: | http://ijqr.net/journal/v15-n4/14.pdf |
| _version_ | 1818837719820795904 |
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| author | Hugo de Oliveira Guimarães da Silva Mariana Cristina Magalhães Costa Maria Victoria Cabrera Aguilera Maria da Glória Diniz de Almeida Bernardo Bastos da Fonseca José Salvador da Motta Reis Luís César Ferreira Motta Barbosa Gilberto Santos Nilo Antonio de Souza Sampaio |
| author_facet | Hugo de Oliveira Guimarães da Silva Mariana Cristina Magalhães Costa Maria Victoria Cabrera Aguilera Maria da Glória Diniz de Almeida Bernardo Bastos da Fonseca José Salvador da Motta Reis Luís César Ferreira Motta Barbosa Gilberto Santos Nilo Antonio de Souza Sampaio |
| author_sort | Hugo de Oliveira Guimarães da Silva |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T03:26:59Z |
| format | Article |
| id | doaj.art-1bf46b97ec924303ac1f274c0c38ad13 |
| institution | Directory Open Access Journal |
| issn | 1800-6450 1800-7473 |
| language | English |
| last_indexed | 2024-12-19T03:26:59Z |
| publishDate | 2021-12-01 |
| publisher | Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia |
| record_format | Article |
| series | International Journal for Quality Research |
| spelling | doaj.art-1bf46b97ec924303ac1f274c0c38ad132022-12-21T20:37:34ZengCenter for Quality, Faculty of Engineering, University of Kragujevac, SerbiaInternational Journal for Quality Research1800-64501800-74732021-12-0115412451262https://doi.org/10.24874/IJQR15.04-14IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRYHugo de Oliveira Guimarães da Silva0https://orcid.org/0000-0001-8242-6512Mariana Cristina Magalhães Costa1https://orcid.org/0000-0003-2682-7906Maria Victoria Cabrera Aguilera2https://orcid.org/0000-0003-3832-3967Maria da Glória Diniz de Almeida3https://orcid.org/0000-0002-0645-8907Bernardo Bastos da Fonseca4https://orcid.org/0000-0002-4280-0896José Salvador da Motta Reis5https://orcid.org/0000-0003-1953-9500Luís César Ferreira Motta Barbosa6https://orcid.org/0000-0003-1953-9500Gilberto Santos7https://orcid.org/0000-0001-9268-3272Nilo Antonio de Souza Sampaio8https://orcid.org/0000-0002-6168-785XUniversidade do Estado do Rio de Janeiro, Resende, BrazilUniversidade do Estado do Rio de Janeiro, Resende, BrazilUniversidade do Estado do Rio de Janeiro, Resende, BrazilUniversidade do Estado do Rio de Janeiro, Resende, BrazilUniversidade do Estado do Rio de Janeiro, Resende, BrazilUniversidade Estadual Paulista, Guaratnguetá, BrazilCentro Federal de Educação Tecnológica Celso Suckow da Fonseca, Rio de Janeiro, BrazilESD - Polytechnic Institute of Cavado and Ave, Barcelos, PortugalUniversidade do Estado do Rio de Janeiro, Resende, BrazilThis 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.http://ijqr.net/journal/v15-n4/14.pdfstatistical process controlquality toolscapabilityassembly linequality management |
| spellingShingle | Hugo de Oliveira Guimarães da Silva Mariana Cristina Magalhães Costa Maria Victoria Cabrera Aguilera Maria da Glória Diniz de Almeida Bernardo Bastos da Fonseca José Salvador da Motta Reis Luís César Ferreira Motta Barbosa Gilberto Santos Nilo Antonio de Souza Sampaio IMPROVED VEHICLE PAINTING PROCESS USING STATISTICAL PROCESS CONTROL TOOLS IN AN AUTOMOBILE INDUSTRY International Journal for Quality Research statistical process control quality tools capability assembly line quality management |
| title | 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_short | 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 |
| topic | statistical process control quality tools capability assembly line quality management |
| url | http://ijqr.net/journal/v15-n4/14.pdf |
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