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Aggregation of importance measures for decision making in reliability engineering

Author

Listed:
  • Michele Compare
  • Michele Bellora
  • Enrico Zio

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec, SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec - Ecole Centrale Paris - Ecole Supérieure d'Electricité - SUPELEC (FRANCE) - CentraleSupélec - EDF R&D - EDF R&D - EDF - EDF)

Abstract

This paper investigates the aggregation of rankings based on component Importance Measures (IMs) to provide the decision maker with a guidance for design or maintenance decisions. In particular, ranking aggregation algorithms of literature are considered, a procedure for ensuring that the aggregated ranking is compliant with the Condorcet criterion of majority principle is presented, and two original ranking aggregation approaches are proposed. Comparisons are made on a case study of an auxiliary feed-water system of a nuclear pressurized water reactor.

Suggested Citation

  • Michele Compare & Michele Bellora & Enrico Zio, 2017. "Aggregation of importance measures for decision making in reliability engineering," Post-Print hal-01652234, HAL.
    • Handle: RePEc:hal:journl:hal-01652234
    DOI: 10.1177/1748006X17694495
    Note: View the original document on HAL open archive server: https://hal.science/hal-01652234
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    References listed on IDEAS

    as
    1. Aven, T. & Nøkland, T.E., 2010. "On the use of uncertainty importance measures in reliability and risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 127-133.
    2. Alessandro Lago & Fortunato Pesarin, 2000. "Nonparametric combiantion of dependent rankings with application to the quality assessment of industrial products," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 39-52.
    3. Young, H. P., 1988. "Condorcet's Theory of Voting," American Political Science Review, Cambridge University Press, vol. 82(4), pages 1231-1244, December.
    4. DeConde Robert P & Hawley Sarah & Falcon Seth & Clegg Nigel & Knudsen Beatrice & Etzioni Ruth, 2006. "Combining Results of Microarray Experiments: A Rank Aggregation Approach," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 5(1), pages 1-25, June.
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    Cited by:

    1. Hongyan Dui & Xiaoqian Zheng & Jianjun Guo & Hui Xiao, 2022. "Importance measure-based resilience analysis of a wind power generation system," Journal of Risk and Reliability, , vol. 236(3), pages 395-405, June.
    2. Sudhanshu Aggarwal, 2021. "Minimal path set importance in complex systems," Journal of Risk and Reliability, , vol. 235(2), pages 201-208, April.
    3. Xianzhen Huang & Frank PA Coolen, 2018. "Reliability sensitivity analysis of coherent systems based on survival signature," Journal of Risk and Reliability, , vol. 232(6), pages 627-634, December.

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