HEAL DSpace

A fuzzy modeling application of CREAM methodology for human reliability analysis

Αποθετήριο DSpace/Manakin

Εμφάνιση απλής εγγραφής

dc.contributor.author Konstandinidou, M en
dc.contributor.author Nivolianitou, Z en
dc.contributor.author Kiranoudis, C en
dc.contributor.author Markatos, N en
dc.date.accessioned 2014-03-01T01:23:24Z
dc.date.available 2014-03-01T01:23:24Z
dc.date.issued 2006 en
dc.identifier.issn 0951-8320 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16950
dc.subject CREAM en
dc.subject Fuzzy modeling en
dc.subject Human reliability analysis en
dc.subject.classification Engineering, Industrial en
dc.subject.classification Operations Research & Management Science en
dc.subject.other CREAM en
dc.subject.other Fuzzy modeling en
dc.subject.other Human reliability analysis en
dc.subject.other Aerospace engineering en
dc.subject.other Chemical plants en
dc.subject.other Fuzzy sets en
dc.subject.other Mathematical models en
dc.subject.other Preventive maintenance en
dc.subject.other Risk assessment en
dc.subject.other Reliability en
dc.title A fuzzy modeling application of CREAM methodology for human reliability analysis en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.ress.2005.06.002 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.ress.2005.06.002 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract This paper is using a fuzzy classification system for human reliability analysis in order to calculate the probability of erroneous actions according to CREAM in specific contexts e.g. maintenance tasks, in-field actions or control room operations in the running of a chemical plant. The complexities of such a system as well as the appropriate actions that have to be taken into consideration by the developers are analysed in detail. CREAM methodology has been selected among the most known and used methods for Human Reliability Analysis not only for being well-structured and precise, but also because it fits better in the general structure of the fuzzy logic. The first results from the application of the model are very promising and in accordance with CREAM. The numerical values produced by the model can be further used in the 'classical' risk assessment methods, such as event trees and fault trees, in order to calculate the overall occurrence frequency of a particular hazardous event. This is a pilot application that demonstrates the successful 'translation' of CREAM into a fuzzy logic model. However, the same model could be extended to cover also other industrial fields, like aviation technology and maritime transports. (c) 2005 Published by Elsevier Ltd. en
heal.publisher ELSEVIER SCI LTD en
heal.journalName Reliability Engineering and System Safety en
dc.identifier.doi 10.1016/j.ress.2005.06.002 en
dc.identifier.isi ISI:000237005100008 en
dc.identifier.volume 91 en
dc.identifier.issue 6 en
dc.identifier.spage 706 en
dc.identifier.epage 716 en


Αρχεία σε αυτό το τεκμήριο

Αρχεία Μέγεθος Μορφότυπο Προβολή

Δεν υπάρχουν αρχεία που σχετίζονται με αυτό το τεκμήριο.

Αυτό το τεκμήριο εμφανίζεται στην ακόλουθη συλλογή(ές)

Εμφάνιση απλής εγγραφής