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Authors
Advisor(s)
Abstract(s)
Diante da necessidade cada vez mais rigorosa em se obter produtos e serviços cada vez melhores, processos produtivos otimizados e equipamentos disponíveis, as empresas têm buscado implementar em toda sua cadeia produtiva melhorias para deixar a sua entrega final mais competitiva. Para obter estes resultados as Organizações necessitam ter ativos disponíveis e para que isso ocorra, mantê-los da forma mais adequada e economicamente viável irá ajudar aos gestores e engenheiros na tomada de decisão. Uma das estratégias utilizadas na conservação de ativos físicos industriais é a Manutenção Centrada na Fiabilidade (RCM) que há muito tempo é aplicada nas indústrias em geral, seja na aviação, mineração, em equipamentos biomédicos e
mais recentemente, com uma nova revolução industrial – a Indústria 4.0, em veículos de transporte de passageiros autónomos.
O presente trabalho tem como objetivo identificar quais os modos de falha que têm maior impacto na disponibilidade do ativo, através da aplicação da metodologia RCM para determinar quais modos de falha devem ser priorizados e determinar a estratégia de manutenção mais adequada para cada um. Para suportar este estudo, foi aplicada a metodologia de análise e hierarquização de processos (AHP) a fim de organizar numa escala de valor os modos de falha.O caso de estudo foi realizado em uma máquina que embala produtos de tabaco, utilizando-se dados reais de falha com os tempos de duração de cada paragem. Pretende-se ainda com este trabalho implementar um processo capaz de ser replicado a qualquer ativo físico industrial que possua dados de falha. Os resultados obtidos levaram a conclusão de que os modos de falha mais frequentes não foram os que geraram maior tempo de paragem. Ou seja, de acordo com a
característica do ativo, existem modos de falhas com diferentes tempos de resolução e que a criação de um modelo aplicável a todos os ativos semelhantes existentes na Organização deverá passar por uma pré-análise dos modos de falha que são gerados, para melhor enquadrar o estudo às características específicas do ativo.
Facing the increasingly and rigorous need to obtain better products and services, optimized production processes and available equipment, companies have sought to implement improvements throughout their production chain to make their final delivery more competitive. To achieve these results, organizations need to have assets available and for this to occur, maintaining them in the most appropriate and economically viable way will help managers and engineers in decision making. One of the strategies used in the conservation of industrial physical assets is Reliability Centered Maintenance (RCM) that has been applied in industries in general, whether in aviation, mining, biomedical equipment and more recently, with a new industrial revolution – Industry 4.0, in autonomous passenger transport vehicles. The present work aims to identify which failure modes have the greatest impact on asset availability, through the application of the RCM methodology to determine which failure modes should be prioritized and determine the most appropriate maintenance strategy for each. To support this study, was also applied the methodology Analytic Hierarchy Process (AHP) to organize the failure modes on a value scale. The case study was carried out in a machine that packs tobacco products, using real failure data with the duration times of each downtime. It is also intended with this work to implement a process capable of being replicated to any industrial physical asset that has failure data. The results obtained led to the conclusion that the most frequent failure modes were not the ones that generated the longest downtimes. That is, according to the characteristic of the asset, there are failure modes with different resolution times and that the creation of a model applicable to all similar assets existing in the Organization should undergo a pre-analysis of the failure modes that are generated, to better frame the study to the specific characteristics of the asset.
Facing the increasingly and rigorous need to obtain better products and services, optimized production processes and available equipment, companies have sought to implement improvements throughout their production chain to make their final delivery more competitive. To achieve these results, organizations need to have assets available and for this to occur, maintaining them in the most appropriate and economically viable way will help managers and engineers in decision making. One of the strategies used in the conservation of industrial physical assets is Reliability Centered Maintenance (RCM) that has been applied in industries in general, whether in aviation, mining, biomedical equipment and more recently, with a new industrial revolution – Industry 4.0, in autonomous passenger transport vehicles. The present work aims to identify which failure modes have the greatest impact on asset availability, through the application of the RCM methodology to determine which failure modes should be prioritized and determine the most appropriate maintenance strategy for each. To support this study, was also applied the methodology Analytic Hierarchy Process (AHP) to organize the failure modes on a value scale. The case study was carried out in a machine that packs tobacco products, using real failure data with the duration times of each downtime. It is also intended with this work to implement a process capable of being replicated to any industrial physical asset that has failure data. The results obtained led to the conclusion that the most frequent failure modes were not the ones that generated the longest downtimes. That is, according to the characteristic of the asset, there are failure modes with different resolution times and that the creation of a model applicable to all similar assets existing in the Organization should undergo a pre-analysis of the failure modes that are generated, to better frame the study to the specific characteristics of the asset.
Description
Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia e Gestão Industrial
Keywords
FMEA Manutenção RCM Gestão de ativos Emaçadora Maintenance Asset management Packer machine
Citation
JESUS, Anderson Reis de – Manutenção centrada na fiabilidade aplicada a ativos físicos industriais. Lisboa: Instituto Superior de Engenharia de Lisboa, 2021. Dissertação de Mestrado.
Publisher
Instituto Superior de Engenharia de Lisboa