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Resilience assessment based on models of functional resonance
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory.
2008 (English)In: Symposium on Resilience Engineering,2008, Sophia Antipolis: MINES ParisTech , 2008Conference paper (Other academic)
Abstract [en]

Both practitioners and scholars with an interest in Resilience Engineering have expressed the need for model- or process-based methods for the assessment of resilience. This paper explores the potential of the Functional Resonance Analysis Method (FRAM; Hollnagel, 2004) to address five key resilience characteristics (buffering capacity, flexibility, margin, tolerance, and cross-scale interactions, as identified by Woods, 2006). Application of FRAM to the Alaska Airlines flight 261 accident and application and evaluation of these resilience characteristics to the functional model shows that FRAM to some extent allows for resilience assessment through these characteristics. Moreover, FRAM-based assessment of resilience challenges the description and definition of these characteristics and enables to ask some specific questions that further develop their assessment.

Place, publisher, year, edition, pages
Sophia Antipolis: MINES ParisTech , 2008.
Keyword [en]
resilience engineering, FRAM, model-based assessment, resilience characteristics, accident analysis
National Category
Computer Science
URN: urn:nbn:se:liu:diva-43840Local ID: 74939OAI: diva2:264700
Available from: 2009-10-10 Created: 2009-10-10

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Woltjer, Rogier
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The Institute of TechnologyCSELAB - Cognitive Systems Engineering Laboratory
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