A Resilience Engineering approach for the evaluation of performance variability: development and application of the Functional Resonance Analysis Method for air traffic management safety assessment

Abstract : This thesis demonstrates the need to develop systemic safety assessment methods to account for the effect of performance variability on air traffic management safety. Like most modern socio-technical systems, air traffic management is so complex that it is impossible for it to be completely described. As consequence, performance cannot be completely specified because it must vary to meet performance demands. Performance variability is an inevitable asset to ensure the functioning of an organisation and at the same time can be harmful for system safety when it combines in an unexpected manner. This argument clearly indicates the need for safety assessment methods that can deal with performance variability. The Functional Resonance Analysis Method (FRAM) has the ability to model performance variability. However parts of the FRAM can be improved to expand its capabilities to evaluate performance variability. This thesis addresses this weakness and develops a methodology for the evaluation of performance variability. The methodology has been applied on a safety assessment case study for the German air traffic management domain. The results have been compared with the official results of a traditional safety assessment. The comparison shows the added valued of the proposed methodology. In particular it illustrates the possibility to identify emergent risks and human contribution to system safety.
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Luigi Macchi. A Resilience Engineering approach for the evaluation of performance variability: development and application of the Functional Resonance Analysis Method for air traffic management safety assessment. Business administration. École Nationale Supérieure des Mines de Paris, 2010. English. ⟨NNT : 2010ENMP0037⟩. ⟨pastel-00589633⟩

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