Design of reliability critical system using axiomatic design with FMECA

Goo, Bongeun; Lee, Joohee; Seo, Suwon; Chang, Daejun; Chung, Habong

doi:10.1016/j.ijnaoe.2017.11.004

Cited by 22 publications

(19 citation statements)

References 7 publications

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“…Aal (2016) [11] Expõe que tecnologias avançadas de semicondutores não são capazes de satisfazer as necessidades da indústria automotiva, propõe um método e testa experimentalmente avaliando o efeito de cargas mecânicas como maneira de simular o envelhecimento desses eletrônicos como um método de projeto voltado a resiliência. [12] utilizam da ferramenta FMECA (failure mode and criticallity analysis) em conjunto com projeto axiomático para o melhoramento de um sistema de suprimento de gás natural liquefeito. O processo proposto pelo autor é separado em duas fases: a construção do projeto axiomático, como uma etapa conceitual em conjunto com o cliente e aplicar o FMECA para identificação dos riscos e se são riscos que não podem ser ignorados.…”

Section: Resultsunclassified

Metodologias Para Qualificação Tecnológica Aplicada Ao Desenvolvimento De Produto: Uma Revisão Sistemática

Oliveira¹,

Beal²

2019

Blucher Engineering Proceedings

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Resumo: Este trabalho tem como objetivo caracterizar a produção científica sobre o processo de qualificação tecnológica aplicada ao desenvolvimento de produto e, para isso, foi realizada uma revisão sistemática com o objetivo de identificar os principais trabalhos na área, identificando metodologias e ferramentas aplicadas. Foram identificados 12 estudos que evidenciam o uso da qualificação tecnológica na etapa de desenvolvimento de produto, cujos resultados mostram a diversidade de metodologias para a qualificação tecnológica, com apenas um estudo utilizando de métricas relacionadas a necessidades dos clientes, demonstrando a necessidade de mais pesquisa nessa linha.

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Section: Resultsunclassified

Metodologias Para Qualificação Tecnológica Aplicada Ao Desenvolvimento De Produto: Uma Revisão Sistemática

Oliveira¹,

Beal²

2019

Blucher Engineering Proceedings

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“…They form the basis for calculating an overall risk coefficient for the malfunction, called RPN (Risk Priority Number). [22]. The HFMEA analysis distinguishes between an "As is" phase, which represents the current state of risks associated with the system, and a "To be" phase.…”

Section: Introduction To the Hfmea Methodologymentioning

confidence: 99%

“…In this paper, we will closely monitor the application of this axiomatic approach, in the specific case, of the implementation of a software for the management of a drug infuser. For this case study, an approach based on axiomatic design is proposed to facilitate the identification of possible malfunctions and consequently contribute to the reduction of clinical risk [18,22].…”

Section: Scope Of Applicationmentioning

confidence: 99%

Clinical risk evaluation of medical device software: an axiomatic design-based methodology

et al. 2019

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The increasing complexity of medical device (MD) management software requires the adoption of new methodological approaches that pay particular attention to safety issues. The risk analysis is one of the key activities to be carried out by the manufacturer before the development of the software application as it determines the type of documentation to be provided as well as the activities to be performed to place the MD on the market. After the definition of software requirements and their iterative transformation into architectural items and/or units, the manufacturer defines the safety class of each item. The adoption of an axiomatic design approach facilitates this process. This combination of techniques helps to focus the design of medical device software on non-conformities with a clear link to clinical risk. This objective can be achieved by assessing the complexity of the system to be designed, both in terms of its functional size, and as a level of overall clinical risk. In this multi-dimensional perspective, the software effort expressed in function points provides an estimate of the development cost. While the clinical risk analysis allows to quickly identify critical areas, to intervene with the same promptness and to draft a management plan according to the regulations of the various control authorities.MATEC Web of Conferences 301, 00005 (2019)

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“…In application for petrochemical plants, a combination of criticality analysis used combination method HAZOP and FMECA had done by El-Arkam et.al [8]. FMECA also used to analyze criticality in liquefied natural gas fuel gas supply, however the methodology integrated the independency of axiomatic design and the hierarchical of FMECA [9]. Another method, using critical path software for project management can be used to determine risk register for critical activities [10].…”

Section: Introductionmentioning

confidence: 99%

The Implementation of Norsok Z-008 for Equipment Criticality Analysis of Gas Central Processing Plant

Priyanta

Siswantoro

Zaman

2019

IJMEIR

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⎯The gas central processing plant as a facility used to process natural gas had a variety of components that were so complex and many in number. To reduce the risk of failure of these components it was necessary to carry out maintenance. But it would be very inefficient if all the components were treated at the same level, considering that there were so many and the human resources that were owned were very limited. Therefore, in taking care of these components it was necessary to prioritize them according to their critical level. In this research, in determining the critical level of a component using risk-based methods according to the available standards, namely NORSOK Z-008. By making a hierarchy and asset level register of all components, then the value of the probability rating and consequence rating was determined. So that the criticality ranking of each component was obtained according to the criticality risk matrix that was converted from the company's risk matrix, so that the critical level of the component was obtained in the levels of H (high), M (medium), and L (low). With the critical level of this component, the company did not need to take care of all the components. In this research, there was 33 equipment with 140 subunits/subsystems, and the total number of components was 674. Of the 674 components as many as 28 components had a critical level of H (high), 192 components had a critical level M (medium), and 454 components had L critical level (low) of each critical level that has been obtained, it is not necessary to carry out maintenance with the same level to all components. In this research, every component that has H (high) criticality level will be treated as a Preventive Maintenance, while a component with a critical level of M (medium) will be Preventive Maintenance if needed, and a component with L critical level (low) will be treated Corrective Maintenance.

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Design of reliability critical system using axiomatic design with FMECA

Cited by 22 publications

References 7 publications

Metodologias Para Qualificação Tecnológica Aplicada Ao Desenvolvimento De Produto: Uma Revisão Sistemática

Metodologias Para Qualificação Tecnológica Aplicada Ao Desenvolvimento De Produto: Uma Revisão Sistemática

Clinical risk evaluation of medical device software: an axiomatic design-based methodology

The Implementation of Norsok Z-008 for Equipment Criticality Analysis of Gas Central Processing Plant

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