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Multidimensional approach to complex system resilience analysis

Author

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  • Gama Dessavre, Dante
  • Ramirez-Marquez, Jose E.
  • Barker, Kash

Abstract

Recent works have attempted to formally define a general metric for quantifying resilience for complex systems as a relationship of performance of the systems against time. The technical content in the proposed work introduces a new model that allows, for the first time, to compare the system resilience among systems (or different modifications to a system), by introducing a new dimension to system resilience models, called stress, to mimic the definition of resilience in material science. The applicability and usefulness of the model is shown with a new heat map visualization proposed in this work, and it is applied to a simulated network resilience case to exemplify its potential benefits.

Suggested Citation

  • Gama Dessavre, Dante & Ramirez-Marquez, Jose E. & Barker, Kash, 2016. "Multidimensional approach to complex system resilience analysis," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 34-43.
    • Handle: RePEc:eee:reensy:v:149:y:2016:i:c:p:34-43
    DOI: 10.1016/j.ress.2015.12.009
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    References listed on IDEAS

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    1. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    2. Barker, Kash & Ramirez-Marquez, Jose Emmanuel & Rocco, Claudio M., 2013. "Resilience-based network component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 89-97.
    3. Jin, Jian Gang & Tang, Loon Ching & Sun, Lijun & Lee, Der-Horng, 2014. "Enhancing metro network resilience via localized integration with bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 17-30.
    4. Baroud, Hiba & Barker, Kash & Ramirez-Marquez, Jose E. & Rocco S., Claudio M., 2014. "Importance measures for inland waterway network resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 55-67.
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