Complexity based risk evaluation in engineered systems

Jonathan Fischi, Roshanak Nichiani

    Research output: Contribution to journalConference articlepeer-review

    3 Scopus citations

    Abstract

    This work proposes a novel approach to augment program risk management processes by introducing complexity-based risk evaluation which potentially exposes risks that would have otherwise been neglected. The approach is to determine the complexity-based risks by first evaluating system, observer, and behavior entropy models. The suggested metrics created by the models provide the framework for generating complexity-based risks. The results can be used by program management to aid in decision-making processes. The results can also be shared with customers to determine any appropriate short and long-term mitigation actions. The suggested metric are applied to a sample case study. Future work will include impact analysis and mitigation strategies for complexity-based risks.

    Original languageEnglish
    Pages (from-to)31-41
    Number of pages11
    JournalProcedia Computer Science
    Volume44
    Issue numberC
    DOIs
    StatePublished - 2015
    EventIUTAM Symposium on the Dynamics of Extreme Events Influenced by Climate Change (2013) - Freiburg, Germany
    Duration: 6 Sep 20159 Sep 2015

    Keywords

    • Risk management
    • System complexity
    • System design

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