Search results for " and criticality analysis"

showing 10 items of 10 documents

The ELECTRE I method to support the FMECA

2018

Abstract In traditional Failure Modes, Effects and Criticality Analysis (FMECA), risk priorities of failure modes are determined through the Risk Priority Number (RPN), which is a function of the three risk parameters Occurrence (O), Severity (S), and Detection (D). In the present paper, an alternative approach to RPN is proposed for the criticality assessment of system failure modes. Particularly, the Multi-Criteria Decision Making (MCDM) method ELECTRE I is proposed to select the most critical failure mode in the set of the failure modes charactering a complex system. The method has been applied to a case study previously proposed by Zammori and Gabrielli (2012).

021110 strategic defence & security studies021103 operations researchComputer science0211 other engineering and technologies02 engineering and technologyFunction (mathematics)Multiple-criteria decision analysisReliability engineeringSet (abstract data type)Failure mode effects and criticality analysisSystem failureControl and Systems EngineeringELECTREFailure mode and effects analysisIFAC-PapersOnLine
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An integrated methodological approach for optimising complex systems subjected to predictive maintenance

2021

Abstract The present paper addresses the relevant topic of maintenance management, widely recognised as a fundamental issue involving complex engineering systems and leading companies towards the optimisation of their assets while pursuing cost efficiency. With this regard, our research aims to provide companies with a hybrid methodological approach based on Multi-Criteria Decision-Making (MCDM) capable to deal with the main failures potentially involving complex systems subjected to predictive maintenance. Such an approach is going to be integrated within the framework of traditional Failure Mode Effects and Criticality Analysis (FMECA), whose strengths and weaknesses are considered. In pa…

Complex systemsService systemCost efficiencyComputer scienceSpecific riskPredictive maintenanceDEMATELMultiple-criteria decision analysisIndustrial and Manufacturing EngineeringPredictive maintenanceFailure mode effects and criticality analysisRisk managementRisk analysis (engineering)Settore ING-IND/17 - Impianti Industriali MeccaniciELECTRE TRIELECTREMaintenance managementSafety Risk Reliability and QualityStrengths and weaknessesFMECAReliability Engineering & System Safety
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Fuzzy FMECA analysis of radioactive gas recovery system in the SPES experimental facility

2021

Abstract Selective Production of Exotic Species is an innovative plant for advanced nuclear physic studies. A radioactive beam, generated by using an UCx target-ion source system, is ionized, selected and accelerated for experimental objects. Very high vacuum conditions and appropriate safety systems to storage exhaust gases are required to avoid radiological risk for operators and people. In this paper, Failure Mode, Effects, and Criticality Analysis of a preliminary design of high activity gas recovery system is performed by using a modified Fuzzy Risk Priority Number to rank the most critical components in terms of failures and human errors. Comparisons between fuzzy approach and classic…

Computer scienceSPES FMECA Fuzzy Risk Priority Number evidence theory exhaust gas storage system020209 energySystem safety02 engineering and technologyFuzzy logicFuzzy risk priority numberPriority Number030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringSettore ING-IND/19 - Impianti NucleariRank (computer programming)TK9001-9401SPESExhaust gas storage systemReliability engineeringEvidence theoryFailure mode effects and criticality analysisNuclear Energy and EngineeringNuclear engineering. Atomic powerRisk assessmentFailure mode and effects analysisRadioactive gasFMECANuclear Engineering and Technology
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Un nuovo approccio per l’integrazione dell’analisi di rischio nella valutazione degli impatti ambientali connessi alle operazioni di smantellamento d…

2018

La disattivazione e lo smantellamento delle installazioni nucleari a seguito della loro cessazione di esercizio è uno dei problemi che molti paesi si trovano ad affrontare avendo come vincolo la garanzia della sostenibilità ambientale e la sicurezza della popolazione e dei lavoratori coinvolti nelle varie procedure operative. Tuttavia, non esiste allo stato attuale una metodologia capace di classificare la rilevanza dei vari tipi di impatto, ma piuttosto una varietà di strategie che dipendono fortemente dalla normativa vigente nel paese di appartenenza. Ciò ha portato a trascurare la definizione di una procedura capace di individuare proattivamente le condizioni di rischio connesse alle att…

Decommissioning impianti nucleari Environmental Impact Mode and Criticality Analysis Valutazione di Impatto AmbientaleSettore ING-IND/19 - Impianti Nucleari
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ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number

2017

Proposing an ELECTRE TRI-based approach for the failure modes classification into predefined and ordered risk classes.Direct identification of failure modes on which performing the corrective actions with priority.Easy definition of risk classes on the basis of DMs expertise and perception of the industrial context considered.Application to dairy manufacturing processes. Failure Mode and Effects Analysis (FMEA) is an engineering technique aimed at the detection of potential failures, their causes and consequences on the system/process under investigation. When used for the failure modes prioritization, FMEA is also referred to as Failure Mode, Effects and Criticality Analysis (FMECA). In tr…

Engineering021103 operations researchGeneral Computer Sciencebusiness.industryProcess (engineering)0211 other engineering and technologiesGeneral EngineeringSpecific riskContext (language use)02 engineering and technologyMultiple-criteria decision analysisReliability engineeringFailure mode effects and criticality analysisFailure modes classificationSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingELECTRE TRISensitivity (control systems)ELECTREbusinessFailure mode and effects analysisFMECA
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A Dempster-Shafer Theory-based approach to the Failure Mode, Effects and Criticality Analysis (FMECA) under epistemic uncertainty: application to the…

2017

Abstract Failure Mode and Effects Analysis (FMEA) is a safety and reliability analysis tool widely used for the identification of system/process potential failures, their causes and consequences. When aimed at the failure modes prioritization, FMEA is named Failure Mode, Effects and Criticality Analysis (FMECA). In the latter case, failure modes are commonly prioritized by means of the Risk Priority Number (RPN) that has been widely criticized to have several shortcomings. Firstly, in the presence of multiple experts supplying different and uncertain judgments on risk parameters, RPN is not able to deal with such a kind of information. Therefore, the present paper proposes the Dempster-Shaf…

EngineeringEpistemic uncertainty021103 operations researchFailure modes prioritizationbusiness.industryProcess (engineering)0211 other engineering and technologiesDempster-Shafer Theory02 engineering and technologyInterval (mathematics)Industrial and Manufacturing EngineeringReliability engineeringIdentification (information)Propulsion systemFailure mode effects and criticality analysisDempster–Shafer theorySettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingUncertainty quantificationSafety Risk Reliability and QualitybusinessFailure mode and effects analysisReliability (statistics)FMECAReliability Engineering & System Safety
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A combined multi-criteria approach to support FMECA analyses: A real-world case

2018

[EN] The paper proposes an approach that combines reliability analyses and multi-criteria decision methods to optimize maintenance activities of complex systems. A failure mode, effects, and criticality analysts (FMECA) is initially performed and the fuzzy TOPSIS (FTOPSIS) method is then applied to rank previously identified failure modes. For prioritization, failure modes are assessed against three evaluation criteria that differ from those traditionally involved in risk priority number (RPN) computation (i.e. severity, occurrence and detection). Two criteria refer to the maintenance management reflecting the operational time taken by the maintenance activity performed after the occurrence…

EngineeringSafety-critical analysisSafety-critical analysiAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologyFault (power engineering)Industrial and Manufacturing EngineeringSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringFTOPSISSensitivity (control systems)Safety Risk Reliability and QualityReliability (statistics)021103 operations researchbusiness.industryRank (computer programming)Reliability engineeringFailure mode effects and criticality analysisRanking020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessFailure mode and effects analysisFMECAReliability Engineering & System Safety
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Risk assessment of component failure modes and human errors using a new FMECA approach: application in the safety analysis of HDR brachytherapy

2014

Failure mode, effects and criticality analysis (FMECA) is a safety technique extensively used in many different industrial fields to identify and prevent potential failures. In the application of traditional FMECA, the risk priority number (RPN) is determined to rank the failure modes; however, the method has been criticised for having several weaknesses. Moreover, it is unable to adequately deal with human errors or negligence. In this paper, a new versatile fuzzy rule-based assessment model is proposed to evaluate the RPN index to rank both component failure and human error. The proposed methodology is applied to potential radiological over-exposure of patients during high-dose-rate brach…

HDR brachytherapySafety ManagementComputer sciencemedicine.medical_treatmentBrachytherapyHuman errorBrachytherapyRisk AssessmentRadiation ProtectionComponent (UML)medicineHumansComputer SimulationRadiation InjuriesWaste Management and Disposalhuman errorSettore ING-IND/19 - Impianti Nuclearirisk priority numberModels StatisticalFuzzy ruleMedical ErrorsIncidenceRank (computer programming)Public Health Environmental and Occupational HealthGeneral MedicineReliability engineeringEquipment Failure AnalysisSurvival RateFailure mode effects and criticality analysisEquipment FailurePatient Safetyfuzzy logicRadioactive Hazard ReleaseRisk assessmentFailure mode and effects analysisFMECA
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Safety study of an LNG regasification plant using an FMECA and HAZOP integrated methodology

2015

Abstract A safety analysis was performed to determine possible accidental events in the storage system used in the liquefied natural gas regasification plant using the integrated application of failure modes, effects and criticality analysis (FMECA) and hazard and operability analysis (HAZOP) methodologies. The goal of the FMECA technique is the estimation of component failure modes and their major effects, whereas HAZOP is a structured and systematic technique that provides an identification of the hazards and the operability problems using logical sequences of cause-deviation-consequence of process parameters. The proposed FMECA and HAZOP integrated analysis (FHIA) has been designed as a …

Hazard (logic)EngineeringOperabilityHazard and operability studyGeneral Chemical EngineeringEnergy Engineering and Power TechnologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringRisk analysiRisk analysis (business)Human errorSettore ING-IND/10 - Fisica Tecnica IndustrialeSafety Risk Reliability and QualitySettore ING-IND/19 - Impianti NucleariRegasificationbusiness.industryReliability engineeringFailure mode effects and criticality analysisControl and Systems EngineeringSystems engineeringLNGHAZOPRisk priority numberbusinessFailure mode and effects analysisRegasification terminalFood ScienceLiquefied natural gasFMECA
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Assessing supply chain risks in the automotive industry through a modified MCDM-based FMECA

2020

Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assess…

Risk analysisSupply chain risk managementcriticality and risk analysisComputer scienceAHPSupply chain09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovaciónAutomotive industryAnalytic hierarchy processBioengineeringcriticality and risk analysi02 engineering and technologylcsh:Chemical technologySystems engineeringlcsh:Chemistry0502 economics and businessSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringChemical Engineering (miscellaneous)lcsh:TP1-1185systems engineeringbusiness.industryProcess Chemistry and Technology05 social sciencesCriticality and risk analysisFuzzy DEMATELSupply chainMultiple-criteria decision analysis12.- Garantizar las pautas de consumo y de producción sosteniblesFailure mode effects and criticality analysislcsh:QD1-999Risk analysis (engineering)020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessFailure mode and effects analysis050203 business & managementFMECA
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