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FRAM as a risk assessment method for nuclear fuel transportation
LiU KogVet, currently Relcon Scandpower AB.
LiU KogVet, currently Vattenfall Power Consultant AB.
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Digital Media. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-8862-7331
2008 (English)In: International Confererence Working on Safety,2008, 2008Conference paper (Other academic)
Abstract [en]

This paper gives an overview and evaluation of the predictive use of the Functional Resonance Accident Model, FRAM (Hollnagel, 2004), a method that is under development and in line with the theoretical framework of Resilience Engineering (Hollnagel et al. 2006). FRAM is based on the premise that both negative and positive events can result from (expected and unexpected) combinations of the variability in the normal performance of complex socio-technical systems. FRAM was used as a qualitative risk assessment method in a nuclear power plant. The process assessed was the transportation of an 80 ton heavy metal cylinder for transportation of used fuel. The study focused on the transportation of the cylinder inside the power plant and in particular the 40 meter lift that is needed to get the cylinder up into the reactor hall. The FRAM analysis was used to propose recommendations at different levels, such as how to improve human-machine interface issues, procedures, information dissemination within the organization, and government guidelines. 

Place, publisher, year, edition, pages
Keyword [en]
Functional resonance accident model (FRAM), human reliability assessment/analysis (HRA), resilience engineering
National Category
Computer Science
URN: urn:nbn:se:liu:diva-43119Local ID: 71881OAI: diva2:263977
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-09-13

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