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Modelling multicomponent systems to quantify reliability centred maintenance strategies

Author

Listed:
  • V Zille
  • C Bérenguer
  • A Grall
  • A Despujols

Abstract

In this paper, a modelling approach is presented to assess the performance of multicomponent systems maintained by complex maintenance strategies. A global framework is built to describe the evolution of the system, the way its components can degrade and fail, and the effects of different maintenance actions. A two-level modelling framework makes it possible to describe fully the entire causal chain that can lead to system dysfunction and the possible maintenance tasks of the reliability centred maintenance (RCM) method. A cost model is defined to assess system performance in terms of cost and unavailability. The main originality of this work is that the complexity of both maintenance programmes and system structures is taken into account. The model can be used as a decision-making tool to choose from a selection of various maintenance options. Promising results have been obtained in case studies based on systems from nuclear power plants.

Suggested Citation

  • V Zille & C Bérenguer & A Grall & A Despujols, 2011. "Modelling multicomponent systems to quantify reliability centred maintenance strategies," Journal of Risk and Reliability, , vol. 225(2), pages 141-160, June.
    • Handle: RePEc:sae:risrel:v:225:y:2011:i:2:p:141-160
    DOI: 10.1177/1748006X11402269
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    References listed on IDEAS

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    1. Ciriaco Valdez‐Flores & Richard M. Feldman, 1989. "A survey of preventive maintenance models for stochastically deteriorating single‐unit systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(4), pages 419-446, August.
    2. Robin P. Nicolai & Rommert Dekker, 2008. "Optimal Maintenance of Multi-component Systems: A Review," Springer Series in Reliability Engineering, in: Complex System Maintenance Handbook, chapter 11, pages 263-286, Springer.
    3. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    4. Cho, Danny I. & Parlar, Mahmut, 1991. "A survey of maintenance models for multi-unit systems," European Journal of Operational Research, Elsevier, vol. 51(1), pages 1-23, March.
    5. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
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    Cited by:

    1. Jiang, Xiuhong & Duan, Fuhai & Tian, Heng & Wei, Xuedong, 2015. "Optimization of reliability centered predictive maintenance scheme for inertial navigation system," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 208-217.
    2. Aizpurua, J.I. & Catterson, V.M. & Papadopoulos, Y. & Chiacchio, F. & D'Urso, D., 2017. "Supporting group maintenance through prognostics-enhanced dynamic dependability prediction," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 171-188.
    3. Juan Izquierdo & Adolfo Crespo Márquez & Jone Uribetxebarria & Asier Erguido, 2019. "Framework for Managing Maintenance of Wind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance," Energies, MDPI, vol. 12(11), pages 1-17, May.

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