0000000000673535

AUTHOR

Roberta Inghilleri

showing 4 related works from this author

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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An Effective Double Sampling Scheme for thecControl Chart

2013

In the present paper is developed a statistical process control inspection procedure based on a new simple-to-implement and effective double sampling scheme for the c control chart, aimed at the minimization of the number of inspected observation units and warranting fixed levels for the type I and II error risks. In particular, the formulations of the false alarm risk α, the power P of the chart, and the expected number of inspected observation units for the developed inspection procedure are given, whereas a macro of Microsoft Excel is adopted to solve the tackled problem. In order to illustrate the application of the developed approach and to investigate on the influence of several opera…

c-chartMathematical optimizationChartComputer scienceControl chartFalse alarmMinificationManagement Science and Operations ResearchMacroSafety Risk Reliability and QualityStatistical process controlShewhart individuals control chartReliability engineeringQuality and Reliability Engineering International
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Trattamento dell'incertezza epistemica nell'analisi affidabilistica

Fault Tree AnalysiFuzzy TopsisAHPPropagazione dell'incertezzaSettore ING-IND/17 - Impianti Industriali MeccaniciIncertezza epistemicaMaintenance Key Performance Indicators (MKPI)Incertezza epistemica; Propagazione dell'incertezza; Fault Tree Analysis; Teoria della possibilità; Teoria di Dempster-Shafer; Manutenzione preventiva; Maintenance Key Performance Indicators (MKPI); AHP; Fuzzy TopsisTeoria di Dempster-ShaferTeoria della possibilitàManutenzione preventiva
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An Effective Double Sampling Scheme for the c Control Chart

2015

In the present paper is developed a statistical process control inspection procedure based on a new simple-to-implement and effective double sampling scheme for the c control chart, aimed at the minimization of the number of inspected observation units and warranting fixed levels for the type I and II error risks. In particular, the formulations of the false alarm risk α, the power P of the chart, and the expected number of inspected observation units for the developed inspection procedure are given, whereas a macro of Microsoft Excel is adopted to solve the tackled problem. In order to illustrate the application of the developed approach and to investigate on the influence of several opera…

control chart for attributeexpected number of inspected observation unitstatistical process controlc control chartadaptive c control chart
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