Human factors in an automotive discrete event simulation model
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30446 |
Resumo: | Human beings have naturally different variations in performance which may lead towards significant differences between the results forecasted by simulation models and those actually obtained. Current research studies the effects of human factors such as circadian rhythms and variations in workday shifts on operators´ performance. It also proposes a method for collecting time data in assembly lines, which takes into consideration different time periods for each work shift to apprehend the variability of human performance at different points throughout the day. The new method was applied in an industrial process with a high rate of manual labor and its production results on the shifts were compared. Results reveal that human factors have a significant impact on the simulation model, providing results closer to reality, which, in turn, lead to more accurate production forecasts. |
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Human factors in an automotive discrete event simulation modelsimulationhuman factorcircadian rhythmshift work.Pesquisa OperacionalHuman beings have naturally different variations in performance which may lead towards significant differences between the results forecasted by simulation models and those actually obtained. Current research studies the effects of human factors such as circadian rhythms and variations in workday shifts on operators´ performance. It also proposes a method for collecting time data in assembly lines, which takes into consideration different time periods for each work shift to apprehend the variability of human performance at different points throughout the day. The new method was applied in an industrial process with a high rate of manual labor and its production results on the shifts were compared. Results reveal that human factors have a significant impact on the simulation model, providing results closer to reality, which, in turn, lead to more accurate production forecasts. Universidade Estadual De Maringá2017-12-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionModelagem e Simulaçãoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3044610.4025/actascitechnol.v39i5.30446Acta Scientiarum. Technology; Vol 39 (2017): Special Supplement; 615-622Acta Scientiarum. Technology; v. 39 (2017): Special Supplement; 615-6221806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30446/pdfCopyright (c) 2017 Acta Scientiarum. Technologyinfo:eu-repo/semantics/openAccessMiranda, Rafael de CarvalhoPaiva, Cibele NogueiraMontevechi, José Arnaldo BarraPereira, Tábata Fernades2018-01-29T10:50:09Zoai:periodicos.uem.br/ojs:article/30446Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2018-01-29T10:50:09Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Human factors in an automotive discrete event simulation model |
title |
Human factors in an automotive discrete event simulation model |
spellingShingle |
Human factors in an automotive discrete event simulation model Miranda, Rafael de Carvalho simulation human factor circadian rhythm shift work. Pesquisa Operacional |
title_short |
Human factors in an automotive discrete event simulation model |
title_full |
Human factors in an automotive discrete event simulation model |
title_fullStr |
Human factors in an automotive discrete event simulation model |
title_full_unstemmed |
Human factors in an automotive discrete event simulation model |
title_sort |
Human factors in an automotive discrete event simulation model |
author |
Miranda, Rafael de Carvalho |
author_facet |
Miranda, Rafael de Carvalho Paiva, Cibele Nogueira Montevechi, José Arnaldo Barra Pereira, Tábata Fernades |
author_role |
author |
author2 |
Paiva, Cibele Nogueira Montevechi, José Arnaldo Barra Pereira, Tábata Fernades |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Miranda, Rafael de Carvalho Paiva, Cibele Nogueira Montevechi, José Arnaldo Barra Pereira, Tábata Fernades |
dc.subject.por.fl_str_mv |
simulation human factor circadian rhythm shift work. Pesquisa Operacional |
topic |
simulation human factor circadian rhythm shift work. Pesquisa Operacional |
description |
Human beings have naturally different variations in performance which may lead towards significant differences between the results forecasted by simulation models and those actually obtained. Current research studies the effects of human factors such as circadian rhythms and variations in workday shifts on operators´ performance. It also proposes a method for collecting time data in assembly lines, which takes into consideration different time periods for each work shift to apprehend the variability of human performance at different points throughout the day. The new method was applied in an industrial process with a high rate of manual labor and its production results on the shifts were compared. Results reveal that human factors have a significant impact on the simulation model, providing results closer to reality, which, in turn, lead to more accurate production forecasts. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Modelagem e Simulação |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30446 10.4025/actascitechnol.v39i5.30446 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30446 |
identifier_str_mv |
10.4025/actascitechnol.v39i5.30446 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30446/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 39 (2017): Special Supplement; 615-622 Acta Scientiarum. Technology; v. 39 (2017): Special Supplement; 615-622 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315336346992640 |