Application of nonlinear models to studies in the ergonomics area
Autor(a) principal: | |
---|---|
Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/BJV4N1_2007_P3 |
Resumo: | This paper presents nonlinear models applied to studies in the ergonomics area. In general, these models evaluate the nature of the relationship between a group ofIndependent Variables (IVs) and one Dependent Variable (DV). In this study the interestis on the effect of the variables thermal perception (Pt); noise perception (Pn); age (A);time of service (Ts) on the working ability. The sample was constituted of 60 publicbus drivers. The Chi-Square test was used to verify the signifi cance between the fi nalmodels and the intercept, thus analyzing the relationship between the dependent andindependent variables. The Wald’s test was applied in order to evaluate the consistencyof the parameter estimates of the IVs. A logistic regression model was built includingthe variables Pt , Pn and A as the IVs. Since A has a greater infl uence on the workingability of the driver, another logistic regression model was constructed consideringjust this variable as the IV. It was concluded that when the bus driver’s age increases by one unit, there is a 23.5% chance of his work ability to fall in the range of poor to moderate. |
id |
ABEPRO_b1d1b95baafb60f57a043db472087147 |
---|---|
oai_identifier_str |
oai:ojs.bjopm.org.br:article/21 |
network_acronym_str |
ABEPRO |
network_name_str |
Brazilian Journal of Operations & Production Management (Online) |
repository_id_str |
|
spelling |
Application of nonlinear models to studies in the ergonomics areaThis paper presents nonlinear models applied to studies in the ergonomics area. In general, these models evaluate the nature of the relationship between a group ofIndependent Variables (IVs) and one Dependent Variable (DV). In this study the interestis on the effect of the variables thermal perception (Pt); noise perception (Pn); age (A);time of service (Ts) on the working ability. The sample was constituted of 60 publicbus drivers. The Chi-Square test was used to verify the signifi cance between the fi nalmodels and the intercept, thus analyzing the relationship between the dependent andindependent variables. The Wald’s test was applied in order to evaluate the consistencyof the parameter estimates of the IVs. A logistic regression model was built includingthe variables Pt , Pn and A as the IVs. Since A has a greater infl uence on the workingability of the driver, another logistic regression model was constructed consideringjust this variable as the IV. It was concluded that when the bus driver’s age increases by one unit, there is a 23.5% chance of his work ability to fall in the range of poor to moderate. Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2010-02-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://bjopm.org.br/bjopm/article/view/BJV4N1_2007_P3Brazilian Journal of Operations & Production Management; Vol. 4 No. 1 (2007): July, 2007; 39-602237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/BJV4N1_2007_P3/pdf_16Da Silva, Luiz BuenoSubramanian, AnandMásculo, Francisco SoaresDe Sá, Fernanda Dinizinfo:eu-repo/semantics/openAccess2019-04-04T07:29:17Zoai:ojs.bjopm.org.br:article/21Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:00.564306Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Application of nonlinear models to studies in the ergonomics area |
title |
Application of nonlinear models to studies in the ergonomics area |
spellingShingle |
Application of nonlinear models to studies in the ergonomics area Da Silva, Luiz Bueno |
title_short |
Application of nonlinear models to studies in the ergonomics area |
title_full |
Application of nonlinear models to studies in the ergonomics area |
title_fullStr |
Application of nonlinear models to studies in the ergonomics area |
title_full_unstemmed |
Application of nonlinear models to studies in the ergonomics area |
title_sort |
Application of nonlinear models to studies in the ergonomics area |
author |
Da Silva, Luiz Bueno |
author_facet |
Da Silva, Luiz Bueno Subramanian, Anand Másculo, Francisco Soares De Sá, Fernanda Diniz |
author_role |
author |
author2 |
Subramanian, Anand Másculo, Francisco Soares De Sá, Fernanda Diniz |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Da Silva, Luiz Bueno Subramanian, Anand Másculo, Francisco Soares De Sá, Fernanda Diniz |
description |
This paper presents nonlinear models applied to studies in the ergonomics area. In general, these models evaluate the nature of the relationship between a group ofIndependent Variables (IVs) and one Dependent Variable (DV). In this study the interestis on the effect of the variables thermal perception (Pt); noise perception (Pn); age (A);time of service (Ts) on the working ability. The sample was constituted of 60 publicbus drivers. The Chi-Square test was used to verify the signifi cance between the fi nalmodels and the intercept, thus analyzing the relationship between the dependent andindependent variables. The Wald’s test was applied in order to evaluate the consistencyof the parameter estimates of the IVs. A logistic regression model was built includingthe variables Pt , Pn and A as the IVs. Since A has a greater infl uence on the workingability of the driver, another logistic regression model was constructed consideringjust this variable as the IV. It was concluded that when the bus driver’s age increases by one unit, there is a 23.5% chance of his work ability to fall in the range of poor to moderate. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-02-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/BJV4N1_2007_P3 |
url |
https://bjopm.org.br/bjopm/article/view/BJV4N1_2007_P3 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/BJV4N1_2007_P3/pdf_16 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 4 No. 1 (2007): July, 2007; 39-60 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051459556081664 |