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 |