Aggregation of importance measures for decision making in reliability engineering

Michele Compare, Michele Bellora and Enrico Zio ()
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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

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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.

Date: 2017-03-20
New Economics Papers: this item is included in nep-agr
Note: View the original document on HAL open archive server: https://hal.science/hal-01652234
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Citations: View citations in EconPapers (3)

Published in Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2017, 231 (3), pp.242 - 254. ⟨10.1177/1748006X17694495⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01652234

DOI: 10.1177/1748006X17694495

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