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Comparing a multi-linear (STEP) and systemic (FRAM) method for accident analysis
Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Norway.
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, Human-Centered systems.
2009 (English)In: Safety, Reliability and Risk Analysis: Theory, Methods and Applications. / [ed] Martorell, S., Guedes Soares, C., & Barnett, J., London, UK: Taylor & Francis Group, 2009, 19-26 p.Conference paper (Refereed)
Abstract [en]

Accident models and analysis methods affect what accident investigators look for, which contributing factors are found, and which recommendations are issued. This paper contrasts the Sequentially Timed Events Plotting (STEP) method and the Functional Resonance Analysis Method (FRAM) for accident analysis and modelling. The main issues addressed in this paper are comparing the established multi-linear method (STEP) with the systemic method (FRAM) and evaluating which new insights the latter systemic method provides for accident analysis in comparison to the former established multi-linear method. Since STEP and FRAM are based on a different understandings of the nature of accidents, the comparison of the methods focuses on what we can learn from both methods, how, when, and why to apply them. The main finding is that STEP helps to illustrate what happened, whereas FRAM illustrates the dynamic interactions within socio-technical systems and lets the analyst understand the how and why by describing non-linear dependencies, performance conditions, variability, and their resonance across functions.

Place, publisher, year, edition, pages
London, UK: Taylor & Francis Group, 2009. 19-26 p.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-17595DOI: 10.1016/j.ress.2010.06.003ISI: 000266027000003ISBN: 978-0-415-48513-5OAI: diva2:210760
European Safety and Reliability Association Annual Conference (ESREL), September 2008, Valencia, Spain.
Available from: 2009-04-05 Created: 2009-04-05 Last updated: 2015-06-04
In thesis
1. Functional Modeling of Constraint Management in Aviation Safety and Command and Control
Open this publication in new window or tab >>Functional Modeling of Constraint Management in Aviation Safety and Command and Control
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis has shown that the concept of constraint management is instrumental in understanding the domains of command and control and aviation safety. Particularly, functional modeling as a means to address constraint management provides a basis for analyzing the performance of socio-technical systems. In addition to the theoretical underpinnings, six studies are presented.

          First, a functional analysis of an exercise conducted by a team of electricity network emergency managers is used to show that a team function taxonomy can be used to analyze the mapping between team tasks and information and communication technology to assess training needs for performance improvement. Second, an analysis of a fire-fighting emergency management simulation is used to show that functional modeling and visualization of constraints can describe behavior vis-à-vis constraints and inform decision support design. Third, analysis of a simulated adversarial command and control task reveals that functional modeling may be used to describe and facilitate constraint management (constraining the adversary and avoiding being constrained by the adversary).

          Studies four and five address the domain of civil aviation safety. The analysis of functional resonance is applied to an incident in study four and an accident in study five, based on investigation reports. These studies extend the functional resonance analysis method and accident model. The sixth study documents the utility of this functional modeling approach for risk assessment by evaluating proposed automation for air traffic control, based on observations, interviews, and experimental data.

          In sum, this thesis adds conceptual tools and modeling methods to the cognitive systems engineering discipline that can be used to tackle problems of training environment design, decision support, incident and accident analysis, and risk assessment.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2009. 134 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1249
National Category
Human Computer Interaction
urn:nbn:se:liu:diva-17639 (URN)978-91-7393-659-0 (ISBN)
Public defence
2009-04-30, Key 1, hus Key, campus Valla, Linköpings universitet, Linköping, 09:15 (English)
Available from: 2009-04-06 Created: 2009-04-06 Last updated: 2015-06-04Bibliographically approved

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Woltjer, Rogier
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