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...

ver descrição completa

Autor principal: Iwata, Bruno Hiroshi Nakamura
Grau: Trabalho de Conclusão de Curso
Idioma: por
Publicado em: Brasil 2023
Assuntos:
Acesso em linha: http://repositorio.ifam.edu.br/jspui/handle/4321/1375
Resumo:
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.