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System Importance Measures: Definitions and Application to System-of-Systems Analysis

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  • Uday, Payuna
  • Chandrahasa, Rakshit
  • Marais, Karen

Abstract

Resilience is the ability to withstand and recover rapidly from disruptions. While this attribute has been the focus of research in several fields, in the case of system-of-systems (SoS), addressing resilience is particularly interesting and challenging. In this research, we present a new set of importance measures to aid in the design and analysis of resilient systems. Our system importance measures (SIMs) are inspired by the component importance measures in reliability engineering but are designed to address the distinguishing features of resilience, in particular, its non-binary nature. The SIMs facilitate rapid identification of vulnerable areas within the SoS. The SIM-based resilience design process allows designers to (1) determine the relative importance of different systems based on their impacts on overall resilience, and (2) improve overall resilience by drawing from design options that leverage system-specific characteristics. We demonstrate the calculation and use of the SIMs using a naval warfare SoS.

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  • Uday, Payuna & Chandrahasa, Rakshit & Marais, Karen, 2019. "System Importance Measures: Definitions and Application to System-of-Systems Analysis," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832019303047
    DOI: 10.1016/j.ress.2019.106582
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    1. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    2. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    3. Ramirez-Marquez, Jose Emmanuel & Coit, David W., 2007. "Multi-state component criticality analysis for reliability improvement in multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1608-1619.
    4. Bilal M. Ayyub, 2014. "Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 340-355, February.
    5. Tran, Huy T. & Balchanos, Michael & Domerçant, Jean Charles & Mavris, Dimitri N., 2017. "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 73-84.
    6. Yacov Y. Haimes, 2009. "On the Definition of Resilience in Systems," Risk Analysis, John Wiley & Sons, vol. 29(4), pages 498-501, April.
    7. Filippini, Roberto & Silva, Andrés, 2014. "A modeling framework for the resilience analysis of networked systems-of-systems based on functional dependencies," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 82-91.
    8. Woods, David D., 2015. "Four concepts for resilience and the implications for the future of resilience engineering," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 5-9.
    9. J. Park & T. P. Seager & P. S. C. Rao & M. Convertino & I. Linkov, 2013. "Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 356-367, March.
    10. 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.
    11. Whitson, John C. & Ramirez-Marquez, Jose Emmanuel, 2009. "Resiliency as a component importance measure in network reliability," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1685-1693.
    12. 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.
    13. Righi, Angela Weber & Saurin, Tarcisio Abreu & Wachs, Priscila, 2015. "A systematic literature review of resilience engineering: Research areas and a research agenda proposal," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 142-152.
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