Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model

Bhattacharjee, Pushparenu; Dey, Vidyut; Mandal, Uttam Kumar

doi:10.1016/j.ssci.2020.104967

Cited by 88 publications

(57 citation statements)

References 40 publications

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“…Still on the calculation of the RPN in the FMEA, mistakes can occur due to the inversely proportional meaning of the classification categories for the probability of detection and occurrence; different scores can originate the same RPN with the risk of not expressing the magnitude of the failure. 19,22 In this way, one of the members should be familiar with the tool of choice in order to lead the others to the correct use and clarification. 20,25 More recent studies have demonstrated the effectiveness of the tools to evaluate work processes and raise the errors that can directly harm patient safety.…”

Section: Discussionmentioning

confidence: 99%

“…The sub-processes should be evaluated in order to filter more precisely all the failures 20 after selecting a multidisciplinary team, knowledgeable of the process, to identify the causes that may lead to risk or damage, prioritizing corrective measures. 20,22,23 The team should have a leader, who will present the tool and guide the other members, and an expert in the tool for clarifications. 16,20 Everyone will be able to change the steps of the work diagram as needed.…”

Section: Failure Mode and Effects Analysismentioning

confidence: 99%

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Ferramentas para a organização do processo de trabalho na segurança do paciente

Jost

Branco²,

Araujo

et al. 2021

Esc. Anna Nery

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RESUMO Objetivo discutir acerca da utilização das ferramentas de Análise de Modo e Efeitos de Falha e sua aplicação na assistência à saúde. Método trata-se de um artigo de reflexão visando à apresentação do formato próprio de aplicação de ambas as ferramentas seguida das suas diferenças de execução nos processos de trabalho. Resultados ambos os modelos possuem a mesma finalidade, sendo direcionados para a detecção de falhas antes mesmo da sua manifestação, auxiliando diretamente na promoção da segurança. A análise do erro, com a participação das equipes e a geração de índices de falhas, repercute no planejamento e na implementação de ações práticas voltadas à segurança do paciente. Conclusão e implicações para a prática embora semelhantes, existem, entre eles, distinções quanto à priorização das falhas para elencar ações práticas corretivas, principalmente no cálculo do Índice de Prioridade de Risco relacionado à gravidade, na probabilidade de ocorrência e na detecção das falhas. Ambas as ferramentas se mostram como importantes aliadas dos gestores de saúde para a detecção de falhas graves que colocam em risco a assistência livre de eventos adversos.

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Section: Discussionmentioning

confidence: 99%

Section: Failure Mode and Effects Analysismentioning

confidence: 99%

Ferramentas para a organização do processo de trabalho na segurança do paciente

Jost

Branco²,

Araujo

et al. 2021

Esc. Anna Nery

View full text Add to dashboard Cite

show abstract

“…Determination of RPN has been a matter of discussion and is known to present certain limitations pointed out in the literature. RPN can be obtained for different ratings of S, O and D, owing to the same weight of the three components (Sawhney et al, 2010); however, there is difficulty faced by decision makers in processing uncertain information (Karimi and Pasandideh, 2018) since RPN is not sufficiently dynamic in priority ranking of failure modes (Bhattacharjee et al, 2020). Improvements in the determination of RPN have been proposed by Nguyen et al (2016aNguyen et al ( , 2016b through the modified RPN and extended RPN, where the internal and external costs of the failures are used to calculate the RPN.…”

Section: Rpn = S O D × ×mentioning

confidence: 99%

“…Improvements in the determination of RPN have been proposed by Nguyen et al (2016aNguyen et al ( , 2016b through the modified RPN and extended RPN, where the internal and external costs of the failures are used to calculate the RPN. Bhattacharjee et al (2020) proposed an interval numberbased logistic regression approach for the estimation of RPN. Cao and Deng (2019) used geometric mean to combine several probability distributions based on the information quality to calculate the RPN.…”

Section: Rpn = S O D × ×mentioning

confidence: 99%

Application of failure mode and effects analysis to reduce microplastic emissions

Pires

Sobral

2021

Waste Manag Res

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A complete understanding of the occurrence of microplastics and the methods to eliminate their sources is an urgent necessity to minimize the pollution caused by microplastics. The use of plastics in any form releases microplastics to the environment. Existing policy instruments are insufficient to address microplastics pollution and regulatory measures have focussed only on the microbeads and single-use plastics. Fees on the use of plastic products may possibly reduce their usage, but effective management of plastic products at their end-of-life is lacking. Therefore, in this study, the microplastic–failure mode and effect analysis (MP–FMEA) methodology, which is a semi-qualitative approach capable of identifying the causes and proposing solutions for the issue of microplastics pollution, has been proposed. The innovative feature of MP–FMEA is that it has a pre-defined failure mode, that is, the release of microplastics to air, water and soil (depending on the process) or the occurrence of microplastics in the final product. Moreover, a theoretical recycling plant case study was used to demonstrate the advantages and disadvantages of this method. The results revealed that MP–FMEA is an easy and heuristic technique to understand the failure-effect-causes and solutions for reduction of microplastics and can be applied by researchers working in different domains apart from those relating to microplastics. Future studies can include the evaluation of the use of MP–FMEA methodology along with quantitative methods for effective reduction in the release of microplastics.

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“…FMEA members have difficulty in obtaining accurate values of risk factors. 9,10 Second, default weights of risk indicators are the same when sorting failure modes. However, weights of risk factors may be remarkably different when evaluating different objects.…”

Section: Introductionmentioning

confidence: 99%

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Yang

et al. 2021

Quality & Reliability Eng

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Failure mode and effect analysis (FMEA) is a tool used to define, identify, and prevent known or unknown potential risks. An improved FMEA based on interval triangular fuzzy numbers (IVF) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is proposed in this study to solve problems of expression and processing of uncertain information, weights of risk factors, and ranking of failure modes in traditional FMEA. Linguistic variables are used to evaluate failure modes level and relative importance of risk factors and are expressed via interval-valued triangular fuzzy number. Determining the subjective weights of risk factors using fuzzy AHP, calculating the objective weights of risk factors using the extended VIKOR method, and obtaining the comprehensive weights of risk factors via ICWGT are proposed for solving the weight problem of risk factors. Finally, the fuzzy VIKOR method is used to rank risk priority of failure modes. The proposed method is used to evaluate workpiece box system of CNC gear milling machine and the results are compared with the findings of other methods to verify effectiveness and rationality of the proposed method.

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Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model

Cited by 88 publications

References 40 publications

Ferramentas para a organização do processo de trabalho na segurança do paciente

Ferramentas para a organização do processo de trabalho na segurança do paciente

Application of failure mode and effects analysis to reduce microplastic emissions

Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

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