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dc.contributor.authorChandarasupsang, T.*
dc.contributor.authorChakpitak, N.*
dc.contributor.authorDahal, Keshav P.*
dc.date.accessioned2009-05-13T15:56:15Z
dc.date.available2009-05-13T15:56:15Z
dc.date.issued2006
dc.identifier.citationChandarasupsang, T., Chakpitak, N. and Dahal, K. P. (2006). Organisational learning model for utility asset management using knowledge engineering approach. In: International Conference on Condition Monitoring and Diagnosis (CMD 2006), April 2-5th 2006, Changwon, Korea. Seoul: Korean Institute of Electrical and Electronic Engineers (KIEE) and Kyongnam: Korea Electrotechnology Research Institute.en
dc.identifier.urihttp://hdl.handle.net/10454/2639
dc.description.abstractUnder the evolving environment, a utility company is required to improve the operation and maintenance of its physical assets usually in the forms of an asset management program. This paper proposes an organisational learning model for the utility companies with respect to the asset management activities. CommonKADS is utilised as a tool to capture the knowledge associated with managing the assets from the learning processes of the utility company. A case study of Bangpakong power plant in Thailand is presented. The results show that by applying the proposed methodologies, the learning processes within the utility companies can be categorised and explained by five major learning steps of breakdown, corrective, preventive, predictive, and proactive maintenances.en
dc.language.isoenen
dc.publisherInternational Conference on Condition Monitoring and Diagnosis.en
dc.relation.isreferencedbyhttp://www.cmd2006.com/en
dc.rights© 2006 The Author. Reproduced by permission from the copyright holder.en
dc.subjectAsset managementen
dc.subjectKnowledge engineeringen
dc.subjectLearning organisationen
dc.subjectMaintenanceen
dc.subjectUtility companiesen
dc.titleOrganisational learning model for utility asset management using knowledge engineering approach.en
dc.status.refereedYesen
dc.typeConference paperen
dc.type.versionAccepted Manuscripten
refterms.dateFOA2018-07-18T13:37:02Z


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