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Hazard/threat identification: Using functional resonance analysis method in conjunction with the Anticipatory Failure Determination method

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  • Anders Jensen
  • Terje Aven

Abstract

An essential part of risk management is to identify possible harmful events. A number of approaches have been suggested for this purpose, including the Anticipatory Failure Determination method. The fundamental idea of Anticipatory Failure Determination is that revealing harmful events is fundamentally a creative act, and, instead of searching for possible harmful events; the strategy is rather to invent them using different kinds of creativity methods. This article addresses hazard/threat identification for complex systems, that is, systems which do not allow for accurate prediction models of the system based on knowing the specific functions and states of its individual components. Hazard/threat identification for such systems is challenging, as traditional cause and effect relationships and linear reasoning do not work. However, models and frameworks exist for analyzing such systems, the functional resonance analysis method being perhaps the most established approach. The purpose of this article is to present a new hazard/threat identification method combining Anticipatory Failure Determination and functional resonance analysis method. The method allows for using creative methods to invent potential hazards and threats in complex systems. We illustrate the method with an example.

Suggested Citation

  • Anders Jensen & Terje Aven, 2017. "Hazard/threat identification: Using functional resonance analysis method in conjunction with the Anticipatory Failure Determination method," Journal of Risk and Reliability, , vol. 231(4), pages 383-389, August.
  • Handle: RePEc:sae:risrel:v:231:y:2017:i:4:p:383-389
    DOI: 10.1177/1748006X17698067
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    References listed on IDEAS

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    1. J. M. Ottino, 2004. "Engineering complex systems," Nature, Nature, vol. 427(6973), pages 399-399, January.
    2. Bjerga, Torbjørn & Aven, Terje & Zio, Enrico, 2016. "Uncertainty treatment in risk analysis of complex systems: The cases of STAMP and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 203-209.
    3. Charles N. Calvano & Philip John, 2004. "Systems engineering in an age of complexity," Systems Engineering, John Wiley & Sons, vol. 7(1), pages 25-34.
    4. Joseph Sharit, 2000. "A Modeling Framework for Exposing Risks in Complex Systems," Risk Analysis, John Wiley & Sons, vol. 20(4), pages 469-482, August.
    5. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
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