Ergonomic Method to Reduce the Risk Level of Musculoskeletal Disorders in a Garment Manufacturing SME in Lima, Peru

Descripción del Articulo

In Peru, the textile industry represents a very important sector due to its significant contribution to the national GDP. All 398 thousand workers in this sector are prone to suffer from musculoskeletal disorders (MSDs), since the operation of machinery and handling of materials involves prolonged r...

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Detalles Bibliográficos
Autores: Ortiz Porras, Jorge, Bancovich Erquínigo, Andrei, Candia Chávez, Taddy, Huayanay Palma, Lisseth, Raez Guevara, Luis
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
inglés
OAI Identifier:oai:ojs.csi.unmsm:article/22769
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/22769
Nivel de acceso:acceso abierto
Materia:rastornos musculoesqueléticos (TME)
nivel de riesgo
REBA
RULA
método ergonómico
musculoskeletal disorders (MSDs)
risk level
ergonomic method
Descripción
Sumario:In Peru, the textile industry represents a very important sector due to its significant contribution to the national GDP. All 398 thousand workers in this sector are prone to suffer from musculoskeletal disorders (MSDs), since the operation of machinery and handling of materials involves prolonged repetitive movements, causing strain on the body. This research aims to reduce the risk level of MSDs in a garment manufacturing SME. Therefore, an ergonomic method was developed based on REBA and RULA integration, which also proposes preventive and corrective measures. A initial evaluation was performed based on the observed postures of the operators to identify the risk levels; subsequently, the evaluation was repeated upon the implementation of the method in order to estimate its effectiveness. As a result, there was an improvement of 44.97%, that is, the level of risk to which the workers are exposed was reduced, demonstrating that the method is useful for garment manufacturing SMEs.
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