New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems

Process equipment and plant maintenance problems are complex in the oil refinery business, since effective maintenance needs to ensure the reliability and availability of the plant. Failure Mode and Effects Analysis (FMEA) is a risk assessment tool that aims to determine possible failure modes, and...

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Autores principales:	Jelena Ivančan, Dragutin Lisjak
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	FMEA fuzzy logic RPN Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/39e5994e4fa24006b2d564f835113d33
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id	oai:doaj.org-article:39e5994e4fa24006b2d564f835113d33
record_format	dspace
spelling	oai:doaj.org-article:39e5994e4fa24006b2d564f835113d332021-11-25T18:12:21ZNew FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems10.3390/machines91102922075-1702https://doaj.org/article/39e5994e4fa24006b2d564f835113d332021-11-01T00:00:00Zhttps://www.mdpi.com/2075-1702/9/11/292https://doaj.org/toc/2075-1702Process equipment and plant maintenance problems are complex in the oil refinery business, since effective maintenance needs to ensure the reliability and availability of the plant. Failure Mode and Effects Analysis (FMEA) is a risk assessment tool that aims to determine possible failure modes, and to reduce the ratio of unknown failure modes, by identifying business-critical systems and the risks of their failures. For the identified failure modes, FMEA determines risk mitigation action(s). The goal is to prevent failure and keep assets and plants running at peak performance by providing fully integrated operations, maintenance, turnarounds, modifications, and asset integrity solutions, during all phases of the asset life cycle. This research was based on FMEA use/application in refineries’ units, and proposes the new fuzzy FMEA risk quantification approach method: “four fuzzy logic system”. The model included a pre-assessment, by sets of fuzzy logic systems, that examined the input parameters that affected the variables of severity, occurrence, and detectability. The proposed model prioritized risks better and addressed the drawbacks of the conventional FMEA method.Jelena IvančanDragutin LisjakMDPI AGarticleFMEAfuzzy logicRPNMechanical engineering and machineryTJ1-1570ENMachines, Vol 9, Iss 292, p 292 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	FMEA fuzzy logic RPN Mechanical engineering and machinery TJ1-1570
spellingShingle	FMEA fuzzy logic RPN Mechanical engineering and machinery TJ1-1570 Jelena Ivančan Dragutin Lisjak New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems
description	Process equipment and plant maintenance problems are complex in the oil refinery business, since effective maintenance needs to ensure the reliability and availability of the plant. Failure Mode and Effects Analysis (FMEA) is a risk assessment tool that aims to determine possible failure modes, and to reduce the ratio of unknown failure modes, by identifying business-critical systems and the risks of their failures. For the identified failure modes, FMEA determines risk mitigation action(s). The goal is to prevent failure and keep assets and plants running at peak performance by providing fully integrated operations, maintenance, turnarounds, modifications, and asset integrity solutions, during all phases of the asset life cycle. This research was based on FMEA use/application in refineries’ units, and proposes the new fuzzy FMEA risk quantification approach method: “four fuzzy logic system”. The model included a pre-assessment, by sets of fuzzy logic systems, that examined the input parameters that affected the variables of severity, occurrence, and detectability. The proposed model prioritized risks better and addressed the drawbacks of the conventional FMEA method.
format	article
author	Jelena Ivančan Dragutin Lisjak
author_facet	Jelena Ivančan Dragutin Lisjak
author_sort	Jelena Ivančan
title	New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems
title_short	New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems
title_full	New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems
title_fullStr	New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems
title_full_unstemmed	New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems
title_sort	new fmea risks ranking approach utilizing four fuzzy logic systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/39e5994e4fa24006b2d564f835113d33
work_keys_str_mv	AT jelenaivancan newfmearisksrankingapproachutilizingfourfuzzylogicsystems AT dragutinlisjak newfmearisksrankingapproachutilizingfourfuzzylogicsystems
_version_	1718411491523166208

New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems

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