Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/65427

TítuloTowards an ergonomic assessment framework for industrial assembly workstations - a case study
Autor(es)Colim, Ana
Faria, Carlos
Braga, A. C.
Sousa, Nuno Miguel Alves
Rocha, Luís
Carneiro, P.
Costa, Nélson
Arezes, P.
Palavras-chaveergonomics and human factors
risk assessment
WMSD prevention
design of assembly workstations for cobots
Data27-Abr-2020
EditoraMultidisciplinary Digital Publishing Institute (MDPI)
RevistaApplied Sciences
CitaçãoColim, A.; Faria, C.; Braga, A.C.; Sousa, N.; Rocha, L.; Carneiro, P.; Costa, N.; Arezes, P. Towards an Ergonomic Assessment Framework for Industrial Assembly Workstations—A Case Study. Appl. Sci. 2020, 10, 3048.
Resumo(s)Work-related musculoskeletal disorders (WMSD) are one of the main occupational health problems. The best strategy to prevent them lies on ergonomic interventions. The variety of industrial processes and environments, however, makes it difficult to define an all-purpose framework to guide these ergonomic interventions. This undefinition is exacerbated by recurrent introduction of new technologies, e.g., collaborative robots. In this paper, we propose a framework to guide ergonomics and human factors practitioners through all stages of assessment and redesign of workstations. This framework was applied in a case study at an assembly workstation of a large furniture enterprise. Direct observation of work activity and questionnaires were applied to characterize the workstations, the process, and the workers’ profiles and perceptions. An ergonomic multi-method approach, based on well-known and validated methods (such as the Finnish Institute of Occupational Health and Rapid Upper Limb Assessment), was applied to identify the most critical risk factors. We concluded that this approach supports the process redesign and tasks’ allocation of the future workstation. From these conclusions, we distill a list of requirements for the creation of a collaborative robot cell, specifying which tasks are performed by whom, as well as the scheduling of the human-robot collaboration (HRC).
TipoArtigo
URIhttps://hdl.handle.net/1822/65427
DOI10.3390/app10093048
e-ISSN2076-3417
Versão da editorahttps://www.mdpi.com/2076-3417/10/9/3048
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

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