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Improved model for continuous, real-time assessment and monitoring of the resilience of systems based on multiple data sources and stakeholders

Abstract : Faced with an increasing level of disruption from natural disasters, terrorist attacks or internal failures, organisations need to ensure their business continuity. Ensuring this continuity depends, among other things, on the continuous assessment, monitoring, and management of their resilience based on the variations of the functionalities. Resilience-assessment methodologies are nowadays used to (1) prepare stakeholders for future crisis management situations and (2) help stakeholders assess past levels of resilience in the aftermath of the crisis. However, continuous, real-time monitoring and assessment of resilience is generally either outside the scope of such methods or limited to raw data representation, lacking effective filtering, interpretation, or integration in the evolving context of the organisation’s activities. This paper enhances previous works on resilience assessment. The result is a complementary methodology for continuous, real-time resilience assessment and monitoring based on multiple data-sources and stakeholders. The novelty is (1) in the context of use of the methodology, (2) in the way the functionality analysis model is obtained and (3) in the way the resilience is continuously assessed.
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Submitted on : Thursday, June 23, 2022 - 9:42:12 AM
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Daouda Kamissoko, Blazho Nastov, Matthieu Allon. Improved model for continuous, real-time assessment and monitoring of the resilience of systems based on multiple data sources and stakeholders. Structure and Infrastructure Engineering, Taylor & Francis (Routledge): STM, Behavioural Science and Public Health Titles, In press, ⟨10.1080/15732479.2021.2009883⟩. ⟨hal-03584622⟩

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