Supporting the transfer of knowledge in high-risk major accident environment

dc.contributor.authorKryštof, Davidcs
dc.contributor.authorAdamec, Petrcs
dc.contributor.authorKotek, Lubošcs
dc.contributor.authorTichá, Zuzanacs
dc.contributor.authorTrávníček, Petrcs
dc.coverage.issue3cs
dc.coverage.volume43cs
dc.date.issued2024-04-01cs
dc.description.abstractA key element in learning from accidents is the skill associated with the transfer of knowledge gained by the operator from historical incidents. These incidents can include accidents and near-misses that occurred on site or in similar companies outside the plant. Knowledge transfer within the enterprise can be supported by a suitable framework or model that is easily understood by a wide range of people who are interested in the lessons learned from accidents. The application of some of the knowledge transfer models used so far can be quite time consuming and uncomfortable for the participants. For this reason, this paper aims to propose a simple model designed to support knowledge transfer. This model is proposed based on the widely used PDCA (plan-do-check-act) framework. Its use is demonstrated by the case of a major accident that occurred in the Czech Republic. The model can be used not only for learning from major accidents that occur in the subject company but also for learning from near-misses or events that occurred in the past in similar plants. Thus, the model can easily help in increasing the efficiency of the accident-learning system in particular.en
dc.description.abstractA key element in learning from accidents is the skill associated with the transfer of knowledge gained by the operator from historical incidents. These incidents can include accidents and near-misses that occurred on site or in similar companies outside the plant. Knowledge transfer within the enterprise can be supported by a suitable framework or model that is easily understood by a wide range of people who are interested in the lessons learned from accidents. The application of some of the knowledge transfer models used so far can be quite time consuming and uncomfortable for the participants. For this reason, this paper aims to propose a simple model designed to support knowledge transfer. This model is proposed based on the widely used PDCA (plan-do-check-act) framework. Its use is demonstrated by the case of a major accident that occurred in the Czech Republic. The model can be used not only for learning from major accidents that occur in the subject company but also for learning from near-misses or events that occurred in the past in similar plants. Thus, the model can easily help in increasing the efficiency of the accident-learning system in particular.en
dc.formattextcs
dc.format.extent536-541cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationPROCESS SAFETY PROGRESS. 2024, vol. 43, issue 3, p. 536-541.en
dc.identifier.doi10.1002/prs.12594cs
dc.identifier.issn1066-8527cs
dc.identifier.orcid0000-0002-2899-4532cs
dc.identifier.other188732cs
dc.identifier.researcheridG-4201-2015cs
dc.identifier.scopus55322068500cs
dc.identifier.urihttp://hdl.handle.net/11012/253580
dc.language.isoencs
dc.publisherWILEYcs
dc.relation.ispartofPROCESS SAFETY PROGRESScs
dc.relation.urihttps://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/prs.12594?saml_referrercs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1066-8527/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcase studyen
dc.subjectexplicit knowledgeen
dc.subjectlearning from incidenten
dc.subjectmodelen
dc.subjectPDCA cycleen
dc.subjecttacit knowledgeen
dc.subjectcase study
dc.subjectexplicit knowledge
dc.subjectlearning from incident
dc.subjectmodel
dc.subjectPDCA cycle
dc.subjecttacit knowledge
dc.titleSupporting the transfer of knowledge in high-risk major accident environmenten
dc.title.alternativeSupporting the transfer of knowledge in high-risk major accident environmenten
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.grantNumberinfo:eu-repo/grantAgreement/TA0/SS/SS05010096cs
sync.item.dbidVAV-188732en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 15:16:11en
sync.item.modts2025.10.14 09:55:39en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav výrobních strojů, systémů a robotikycs

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