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Innovative approaches for addressing old challenges in component importance measures

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  • Rocco S., Claudio M.
  • Ramirez-Marquez, Jose Emmanuel

Abstract

Importance measures (IM) are component related indices that allow assessing how a component in a system affects one or more system level performance functions. While several IM have been presented in the literature, challenges still remain with respect to the following: (1) multiple ranking—multiple perspective, (2) multi-component importance and, (3) multi-function importance. To address these challenges, this paper proposes set of innovative solutions based on several available techniques: Hasse diagram, Copeland score and Multi-objective optimization. As such, the purpose of this research is twofold: first propose solutions and second foster new research to address these challenges. Each of the proposed solutions is exemplified with a working example.

Suggested Citation

  • Rocco S., Claudio M. & Ramirez-Marquez, Jose Emmanuel, 2012. "Innovative approaches for addressing old challenges in component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 123-130.
    • Handle: RePEc:eee:reensy:v:108:y:2012:i:c:p:123-130
    DOI: 10.1016/j.ress.2012.05.009
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    Cited by:

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    2. Ding Zhang & Yingjie Zhang & Mingrang Yu & Yun Chen, 2017. "Reliability evaluation and component importance measure for manufacturing systems based on failure losses," Journal of Intelligent Manufacturing, Springer, vol. 28(8), pages 1859-1869, December.
    3. Almoghathawi, Yasser & Barker, Kash & Rocco, Claudio M. & Nicholson, Charles D., 2017. "A multi-criteria decision analysis approach for importance identification and ranking of network components," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 142-151.
    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.
    5. Saleh, Joseph H. & Saltmarsh, Elizabeth A. & Favarò, Francesca M. & Brevault, Loïc, 2013. "Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 148-154.
    6. Wu, Shaomin & Chen, Yi & Wu, Qingtai & Wang, Zhonglai, 2016. "Linking component importance to optimisation of preventive maintenance policy," Reliability Engineering and System Safety, Elsevier, vol. 146(C), pages 26-32.
    7. Baroud, Hiba & Barker, Kash, 2018. "A Bayesian kernel approach to modeling resilience-based network component importance," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 10-19.

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