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Trabalho de Conclusão de Curso
Aplicação da ferramenta FMEA na máquina de sangrar freio numa indústria automobilística de duas rodas
Given the growth of competitiveness in the industrial scenario, the existence of maintenance management is essential for increasing asset reliability and availability. Thus, ReliabilityCentered Maintenance (RCM) suggests a structured methodology for conducting maintenance management with a focus o...
Autor principal: | Iwata, Bruno Hiroshi Nakamura |
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Grau: | Trabalho de Conclusão de Curso |
Idioma: | por |
Publicado em: |
Brasil
2023
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Assuntos: | |
Acesso em linha: |
http://repositorio.ifam.edu.br/jspui/handle/4321/1375 |
Resumo: |
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Given the growth of competitiveness in the industrial scenario, the existence of maintenance
management is essential for increasing asset reliability and availability. Thus, ReliabilityCentered Maintenance (RCM) suggests a structured methodology for conducting maintenance
management with a focus on preventive actions. Therefore, this study proposes the use of the
Failure Mode and Effect Analysis (FMEA) tool in a brake bleeding machine of a two-wheeler
automotive industry. The main objective of this work is to reduce failure time and increase the
Mean Time Between Failures (MTBF) of the respective machine. To determine the machinery
to be applied in the tool, a survey was conducted on four machines that had the highest records
of unplanned maintenance in the year 2021, and thus, the one with the greatest impact was
chosen. For this process, the FMEA table was filled out with the main components of the
machine, indicating their function, the main failure modes and effects, as well as the
classification of the priority index for each item, through risk assessment. Subsequently, the
existing preventive maintenance plan was reviewed and reformulated based on the analysis.
Additionally, the necessary materials were acquired and scheduled replacements were carried
out according to the established work schedule. The implementation of the methodology
contributed to the optimization of maintenance plans, as well as a 70.4% reduction in corrective
failure time compared to the initial analyzed period. |