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Sistema de apoio à decisão em manutenção de equipamentos hospitalares
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Abstract(s)
A manutenção eficiente de equipamentos é crucial para garantir a continuidade, fiabilidade e segurança das operações em ambientes hospitalares e laboratoriais. Em instituições de investigação biomédica, como o Instituto de Medicina Molecular, a gestão adequada de equipamentos, nomeadamente ultracongeladores -80ºC, é determinante para proteger amostras biológicas críticas. Este trabalho apresenta três casos de estudo que exemplificam diferentes abordagens e metodologias aplicadas à gestão de manutenção dos equipamentos no iMM. No caso de estudo I, a aplicação da metodologia FMEA a um ultracongelador -80 °C permitiu identificar o compressor como o componente mais crítico, com um Número de Prioridade de Risco (RPN) de 60, associado à falha por corte de energia ou baixa tensão. Outras falhas relevantes incluíram o entupimento do tubo capilar (RPN = 60) e o sobreaquecimento do condensador (RPN = 48). Estes dados possibilitaram a definição de prioridades de intervenção e a implementação de medidas preventivas específicas. No caso de estudo II, o método AHP foi utilizado para apoiar a seleção de um software de monitorização remota, considerando sete critérios essenciais. Entre esses critérios, os mais determinantes para a decisão foram a transmissão de dados por GSM (30,57%) e os alarmes por SMS (30,57%), que apresentaram os maiores pesos relativos na avaliação. A análise comparativa entre as duas empresas fornecedoras revelou que a Empresa A destacou-se em termos de desempenho nos critérios mais críticos, levando à sua seleção como a melhor opção para a implementação do software de monitorização remota. No caso de estudo III, foram analisados três indicadores-chave de desempenho (KPIs) referentes à gestão da manutenção dos equipamentos no iMM em 2023. Os KPIs selecionados focaram nos equipamentos com maior número de manutenções corretivas, as causas dos atrasos nas reparações e os fornecedores responsáveis pelo maior número de manutenções corretivas. A análise revelou que os equipamentos, como as câmaras de biossegurança classe 2 e os ultracongeladores, exigem maior atenção devido a três fatores (quantidade, utilização e idade). Além disso, a principal causa para os atrasos nas reparações foi o prazo de entrega das peças. Conclui-se que a aplicação integrada das metodologias FMEA e AHP, aliada à digitalização dos processos de manutenção com recurso a um CMMS, constitui uma abordagem eficaz para aumentar a fiabilidade dos equipamentos, melhorar a tomada de decisão e otimizar os recursos operacionais no contexto da investigação biomédica.
Abstract Efficient equipment maintenance is crucial to ensuring the continuity, reliability and safety of operations in hospital and laboratory environments. In biomedical research institutions, such as the Institute of Molecular Medicine, proper management of equipment, namely -80ºC ultra-freezers, is crucial to protecting critical biological samples. This document presents three case studies that exemplify different approaches and methodologies applied to equipment maintenance management at iMM. In case study I, the application of the FMEA methodology to a -80°C ultra-freezer allowed the compressor to be identified as the most critical component, with a Risk Priority Number (RPN) of 60, associated with failure due to power cut or low voltage. Other relevant failures included capillary tube clogging (RPN = 60) and condenser overheating (RPN = 48). These data made it possible to define intervention priorities and implement specific preventive measures. In case study II, the AHP method was used to support the selection of remote monitoring software, considering seven essential criteria. Among these criteria, the most decisive for the decision were data transmission via GSM (30.57%) and alarms via SMS (30.57%), which had the highest relative weights in the evaluation. The comparative analysis between the two supplier companies revealed that company A stood out in terms of performance in the most critical criteria, leading to its selection as the best option for implementing the remote monitoring software. In case study III, three key performance indicators (KPIs) related to equipment maintenance management at iMM in 2023 were analyzed. The selected KPIs focused on the equipment with the highest number of corrective maintenance, the causes of delays in repairs and the suppliers responsible for the highest number of corrective maintenance. The analysis revealed that equipment, such as biological safety cabinet class II and ultra-freezers, require greater attention due to three factors (quantity, use and age). Furthermore, the main cause of delays in repairs was the delivery time of the parts. It is concluded that the integrated application of FMEA and AHP methodologies, combined with the digitalization of maintenance processes using a CMMS, constitutes an effective approach to increase equipment reliability, improve decision-making and optimize operational resources in the context of biomedical research.
Abstract Efficient equipment maintenance is crucial to ensuring the continuity, reliability and safety of operations in hospital and laboratory environments. In biomedical research institutions, such as the Institute of Molecular Medicine, proper management of equipment, namely -80ºC ultra-freezers, is crucial to protecting critical biological samples. This document presents three case studies that exemplify different approaches and methodologies applied to equipment maintenance management at iMM. In case study I, the application of the FMEA methodology to a -80°C ultra-freezer allowed the compressor to be identified as the most critical component, with a Risk Priority Number (RPN) of 60, associated with failure due to power cut or low voltage. Other relevant failures included capillary tube clogging (RPN = 60) and condenser overheating (RPN = 48). These data made it possible to define intervention priorities and implement specific preventive measures. In case study II, the AHP method was used to support the selection of remote monitoring software, considering seven essential criteria. Among these criteria, the most decisive for the decision were data transmission via GSM (30.57%) and alarms via SMS (30.57%), which had the highest relative weights in the evaluation. The comparative analysis between the two supplier companies revealed that company A stood out in terms of performance in the most critical criteria, leading to its selection as the best option for implementing the remote monitoring software. In case study III, three key performance indicators (KPIs) related to equipment maintenance management at iMM in 2023 were analyzed. The selected KPIs focused on the equipment with the highest number of corrective maintenance, the causes of delays in repairs and the suppliers responsible for the highest number of corrective maintenance. The analysis revealed that equipment, such as biological safety cabinet class II and ultra-freezers, require greater attention due to three factors (quantity, use and age). Furthermore, the main cause of delays in repairs was the delivery time of the parts. It is concluded that the integrated application of FMEA and AHP methodologies, combined with the digitalization of maintenance processes using a CMMS, constitutes an effective approach to increase equipment reliability, improve decision-making and optimize operational resources in the context of biomedical research.
Description
Keywords
AHP Apoio à decisão FMEA Fiabilidade Manutenção de equipamentos Monitorização remota Software de gestão da manutenção Decision support Reliability Equipment maintenance Remote monitoring Maintenance management software