Abstract
The ergonomics industry contributes to improve the efficiency, reliability and quality of industrial operations, the aim being to prevent rallying this study, in order to implement working conditions which prevent the onset of MSDs. This study was developed in Swedwood Portugal. The company has its own production lines in jobs that require intervention in order to reduce the risk of developing MSDs. To quantify the level of risk and an ergonomic elaboration of an action plan for preventive and corrective measures to be implemented, the company proceeded with the application of ergonomic evaluation methodology and analysis of anthropometric data. The research was conducted in three phases: (1) application of methodology Checklist OSHA, allowing you to prioritize more detailed evaluations and adapt the methodology of level 2, (2) workload assessment with the methodology RULA (classification integrated risk of MSDs) and Equation NIOSH (calculation of the recommended weight limit). Results suggest that it is imperative to ascertain and make immediate modifications in 65 % of jobs (e.g. First post battens receipt of PAUL; mounting frames; Assembly Sandwich BOF; Packaging Genax 2 rank 1), 25 % may need a few changes (e.g. Inspection of parts lacquering; Placement in HDF glue machine; Packaging Genax 2 position 0) and in 10 % of the posts it is urgent to further analyse and make the respective changes (e.g. Mount honeycomb; supply station assembly honeycomb). The results indicate the need to implement preventive and corrective measures, using tools of ergonomics and engineering, such as interventions based on anthropometry, organization of working time, changes in the working methods, reorganization of production layout and equipment introduction aid to the implementation of tasks.
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Coelho, C., Oliveira, P., Maia, E., Maia, J., Dias-Teixeira, M. (2016). The Importance of Ergonomics Analysis in Prevention of MSDs: A Pilot Study. In: Arezes, P. (eds) Advances in Safety Management and Human Factors. Advances in Intelligent Systems and Computing, vol 491. Springer, Cham. https://doi.org/10.1007/978-3-319-41929-9_14
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DOI: https://doi.org/10.1007/978-3-319-41929-9_14
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