USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/587 |
Resumo: | This research was developed in eucalyptus plantations, in Marliéria and Córrego Novo, in the state of Minas Gerais, Brazil, with the objective of multivariated analysis applying in the study of human factors related to chainsaw cutting, clustering the chainsaw operators, considering the individual productivity and the envolved human factors. The cluster analysis classified the chainsaw operators in four groups. Thirteen factors were important in clustering the chainsaw operators, among the 20 factors analised. The productivity on the job was a very important factor in the chainsaw operators clustering, because the three most productive chainsaw operators have formed one group and the less one has formed another group. |
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USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORSchainsawmultivariated analysiscluster analysishuman factorsThis research was developed in eucalyptus plantations, in Marliéria and Córrego Novo, in the state of Minas Gerais, Brazil, with the objective of multivariated analysis applying in the study of human factors related to chainsaw cutting, clustering the chainsaw operators, considering the individual productivity and the envolved human factors. The cluster analysis classified the chainsaw operators in four groups. Thirteen factors were important in clustering the chainsaw operators, among the 20 factors analised. The productivity on the job was a very important factor in the chainsaw operators clustering, because the three most productive chainsaw operators have formed one group and the less one has formed another group. CERNECERNE2015-10-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/587CERNE; Vol. 8 No. 2 (2002); 098-104CERNE; v. 8 n. 2 (2002); 098-1042317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://cerne.ufla.br/site/index.php/CERNE/article/view/587/501Copyright (c) 2015 CERNEinfo:eu-repo/semantics/openAccessSant’Anna, Cleverson de MelloMalinovski, Jorge Roberto2015-10-22T09:18:01Zoai:cerne.ufla.br:article/587Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:00.126232Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS |
title |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS |
spellingShingle |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS Sant’Anna, Cleverson de Mello chainsaw multivariated analysis cluster analysis human factors |
title_short |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS |
title_full |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS |
title_fullStr |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS |
title_full_unstemmed |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS |
title_sort |
USE OF MULTIVARIATED ANALYSIS IN THE STUDY OF HUMAN FACTORS IN CHAINSAW OPERATORS |
author |
Sant’Anna, Cleverson de Mello |
author_facet |
Sant’Anna, Cleverson de Mello Malinovski, Jorge Roberto |
author_role |
author |
author2 |
Malinovski, Jorge Roberto |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Sant’Anna, Cleverson de Mello Malinovski, Jorge Roberto |
dc.subject.por.fl_str_mv |
chainsaw multivariated analysis cluster analysis human factors |
topic |
chainsaw multivariated analysis cluster analysis human factors |
description |
This research was developed in eucalyptus plantations, in Marliéria and Córrego Novo, in the state of Minas Gerais, Brazil, with the objective of multivariated analysis applying in the study of human factors related to chainsaw cutting, clustering the chainsaw operators, considering the individual productivity and the envolved human factors. The cluster analysis classified the chainsaw operators in four groups. Thirteen factors were important in clustering the chainsaw operators, among the 20 factors analised. The productivity on the job was a very important factor in the chainsaw operators clustering, because the three most productive chainsaw operators have formed one group and the less one has formed another group. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10-16 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/587 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/587 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/587/501 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 8 No. 2 (2002); 098-104 CERNE; v. 8 n. 2 (2002); 098-104 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874941094461440 |