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Operators' response time estimation for a critical task using the fuzzy logic theory

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dc.contributor.author Konstandinidou, M en
dc.contributor.author Nivolianitou, Z en
dc.contributor.author Simos, G en
dc.contributor.author Kiranoudis, C en
dc.contributor.author Markatos, N en
dc.date.accessioned 2014-03-01T02:52:05Z
dc.date.available 2014-03-01T02:52:05Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35833
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-79952324633&partnerID=40&md5=15b674fe104531227ef8561aae742628 en
dc.subject.other Control rooms en
dc.subject.other Critical tasks en
dc.subject.other Direct impact en
dc.subject.other Fuzzy logic theory en
dc.subject.other Human actions en
dc.subject.other Influencing factor en
dc.subject.other New model en
dc.subject.other Operational tasks en
dc.subject.other Reaction time en
dc.subject.other Real-life applications en
dc.subject.other Response time en
dc.subject.other Specific tasks en
dc.subject.other Estimation en
dc.subject.other Fuzzy logic en
dc.subject.other Fuzzy systems en
dc.subject.other Petrochemicals en
dc.subject.other Reliability analysis en
dc.subject.other Reliability theory en
dc.subject.other Risk analysis en
dc.subject.other Risk assessment en
dc.title Operators' response time estimation for a critical task using the fuzzy logic theory en
heal.type conferenceItem en
heal.publicationDate 2009 en
heal.abstract A model for the estimation of the probability of an erroneous human action in specific industrial and working contexts based on the CREAM methodology has been created using the fuzzy logic theory. The expansion of this model, presented in this paper, covers also operators' response time data related with critical tasks. A real life application, which is performed regularly in a petrochemical unit, has been chosen to test the model. The reaction time of the operators in the execution of this specific task has been recorded through an indication reported in the control room. For this specific task the influencing factors with a direct impact on the operators' performance have been evaluated and a tailored made version of the initial model has been developed. The new model provides estimations that are in accordance with the real data coming from the petrochemical unit. The model can be further expanded and used in different operational tasks and working contexts. © Taylor & Francis Group, London.© 2009 Taylor & Francis Group. en
heal.journalName Safety, Reliability and Risk Analysis: Theory, Methods and Applications - Proceedings of the Joint ESREL and SRA-Europe Conference en
dc.identifier.volume 1 en
dc.identifier.spage 281 en
dc.identifier.epage 290 en


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