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Communication Dans Un Congrès Année : 2016

Modelling non-deterministic causal mechanisms involving resilience in risk analysis

Antonello de Galizia
EDF
Benoît Iung
Carole Duval
  • Fonction : Auteur
  • PersonId : 867845
EDF
Emmanuel Serdet
  • Fonction : Auteur
  • PersonId : 966228
EDF

Résumé

In risk analysis, deterministic propagation of uncertainty as in fault trees models is not sufficient for sociotechnical systems. In recent years some approaches have been developed as Integrated Risk Analysis (IRA) to address different risks causalities linking human, organizational, technical and environmental factors in a unified framework. This framework relies on a Performance Shaping Factors (PSF) based model and constitutes an alternative approach different from that currently adopted at EDF for PSA (Probabilistic Safety Assessment) purposes. The IRA method is supported by Bayesian Networks (BNs) to model non-deterministic causal patterns among system variables. Thus, this paper aims to investigate on how to consider resilient influences in causal probabilistic modelling. In particular, it is focused on how to consider mitigation mechanisms in quantifying organizational influences on a human activity in sociotechnical systems. It leads to propose a formalism to represent a mitigation mechanism in causal interactions between pathogenic and resilient influences in a probabilistic model. Finally, the feasibility of our proposal is shown on an illustrative case declined in the framework of the IRA approach
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Dates et versions

hal-01293653 , version 1 (25-03-2016)

Identifiants

  • HAL Id : hal-01293653 , version 1

Citer

Antonello de Galizia, Christophe Simon, Philippe Weber, Benoît Iung, Carole Duval, et al.. Modelling non-deterministic causal mechanisms involving resilience in risk analysis. 8th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2016, Jun 2016, Troyes, France. ⟨hal-01293653⟩
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