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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU151429" target="_blank" >RIV/00216305:26210/24:PU151429 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62156489:43210/24:43924906

Výsledek na webu

<a href="https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/prs.12594?saml_referrer" target="_blank" >https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/prs.12594?saml_referrer</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/prs.12594" target="_blank" >10.1002/prs.12594</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

A 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

A 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20400 - Chemical engineering

Projekt

<a href="/cs/project/SS05010096" target="_blank" >SS05010096: SAFE-BASE: Návrh komplexního systému pro proces poučení ze závažných havárií s účastí nebezpečné chemické látky nebo směsi</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

PROCESS SAFETY PROGRESS

ISSN

1066-8527

e-ISSN

1547-5913

Svazek periodika

2024

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

„“-„“

Kód UT WoS článku

001182119000001

EID výsledku v databázi Scopus

2-s2.0-85187471596