Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector
Descripción del Articulo
Currently there are several methods and tools that allow us to know if a worker is at risk of suffering from a musculoskeletal disorder (MSD). Which can affect the physical integrity of people in a short or long term. However, many industrial companies have neglected the importance of the human fact...
Autores: | , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2022 |
Institución: | Universidad Peruana de Ciencias Aplicadas |
Repositorio: | UPC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/668844 |
Enlace del recurso: | http://hdl.handle.net/10757/668844 |
Nivel de acceso: | acceso embargado |
Materia: | Ergonomics tools and methods Musculoskeletal NIOSH OWAS Postural load Posture |
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dc.title.es_PE.fl_str_mv |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector |
title |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector |
spellingShingle |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector Andia-Fernandez, Jose Fernando Ergonomics tools and methods Musculoskeletal NIOSH OWAS Postural load Posture |
title_short |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector |
title_full |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector |
title_fullStr |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector |
title_full_unstemmed |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector |
title_sort |
Anthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sector |
author |
Andia-Fernandez, Jose Fernando |
author_facet |
Andia-Fernandez, Jose Fernando Ojeda-Soto, Kevin Brando Altamirano-Flores, Ernesto |
author_role |
author |
author2 |
Ojeda-Soto, Kevin Brando Altamirano-Flores, Ernesto |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Andia-Fernandez, Jose Fernando Ojeda-Soto, Kevin Brando Altamirano-Flores, Ernesto |
dc.subject.es_PE.fl_str_mv |
Ergonomics tools and methods Musculoskeletal NIOSH OWAS Postural load Posture |
topic |
Ergonomics tools and methods Musculoskeletal NIOSH OWAS Postural load Posture |
description |
Currently there are several methods and tools that allow us to know if a worker is at risk of suffering from a musculoskeletal disorder (MSD). Which can affect the physical integrity of people in a short or long term. However, many industrial companies have neglected the importance of the human factor and focus solely on the fulfillment of production. For this reason, the objective of this study is to investigate those positions in different areas of an industrial plant dedicated to the manufacture of plastic derivative products that may cause a muscle injury to workers or a disabling accident. Which does not only affect the person, but also the company. Due to the days of medical rest that the staff will have to need for their recovery and that the company must cover with the hiring of overtime or additional staff to meet the demand. The methods used for the evaluation of the activities will be Ovako Working Analysis System (OWAS), on the one hand, and National Institute of Occupational Safety and Health (NIOSH) on the other. It is worth mentioning that, once the analysis with these ergonomic tools is completed, possible solutions will be sought with the anthropometric technique. Which stands out, because it allows the work environment to adapt to the needs of the operators and not the other way around. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2023-10-02T22:10:11Z |
dc.date.available.none.fl_str_mv |
2023-10-02T22:10:11Z |
dc.date.issued.fl_str_mv |
2022-09-27 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.doi.none.fl_str_mv |
10.1145/3568834.3568890 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10757/668844 |
dc.identifier.journal.es_PE.fl_str_mv |
ACM International Conference Proceeding Series |
dc.identifier.eid.none.fl_str_mv |
2-s2.0-85147433441 |
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SCOPUS_ID:85147433441 |
dc.identifier.isni.none.fl_str_mv |
0000 0001 2196 144X |
identifier_str_mv |
10.1145/3568834.3568890 ACM International Conference Proceeding Series 2-s2.0-85147433441 SCOPUS_ID:85147433441 0000 0001 2196 144X |
url |
http://hdl.handle.net/10757/668844 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.url.es_PE.fl_str_mv |
https://dl.acm.org/doi/abs/10.1145/3568834.3568890 |
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info:eu-repo/semantics/embargoedAccess |
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Attribution-NonCommercial-ShareAlike 4.0 International |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
dc.publisher.es_PE.fl_str_mv |
Association for Computing Machinery |
dc.source.es_PE.fl_str_mv |
Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Académico - UPC |
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6fb6d03ec1902a6421ce2d4f57b801bf300abe50ccc5969aadef3d0747fabcfd732300c105bdbebe4ac6dccf40ff31d8c5dda9Andia-Fernandez, Jose FernandoOjeda-Soto, Kevin BrandoAltamirano-Flores, Ernesto2023-10-02T22:10:11Z2023-10-02T22:10:11Z2022-09-2710.1145/3568834.3568890http://hdl.handle.net/10757/668844ACM International Conference Proceeding Series2-s2.0-85147433441SCOPUS_ID:851474334410000 0001 2196 144XCurrently there are several methods and tools that allow us to know if a worker is at risk of suffering from a musculoskeletal disorder (MSD). Which can affect the physical integrity of people in a short or long term. However, many industrial companies have neglected the importance of the human factor and focus solely on the fulfillment of production. For this reason, the objective of this study is to investigate those positions in different areas of an industrial plant dedicated to the manufacture of plastic derivative products that may cause a muscle injury to workers or a disabling accident. Which does not only affect the person, but also the company. Due to the days of medical rest that the staff will have to need for their recovery and that the company must cover with the hiring of overtime or additional staff to meet the demand. The methods used for the evaluation of the activities will be Ovako Working Analysis System (OWAS), on the one hand, and National Institute of Occupational Safety and Health (NIOSH) on the other. It is worth mentioning that, once the analysis with these ergonomic tools is completed, possible solutions will be sought with the anthropometric technique. Which stands out, because it allows the work environment to adapt to the needs of the operators and not the other way around.application/pdfengAssociation for Computing Machineryhttps://dl.acm.org/doi/abs/10.1145/3568834.3568890info:eu-repo/semantics/embargoedAccessAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCACM International Conference Proceeding Series471477reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCErgonomics tools and methodsMusculoskeletalNIOSHOWASPostural loadPostureAnthropometric Methods for the Reduction of Accidents Due to Musculoskeletal Disorders in a Company of the Industrial Sectorinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/668844/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52falseCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorioacademico.upc.edu.pe/bitstream/10757/668844/1/license_rdf934f4ca17e109e0a05eaeaba504d7ce4MD51false10757/668844oai:repositorioacademico.upc.edu.pe:10757/6688442023-10-02 22:10:14.027Repositorio académico upcupc@openrepository.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).