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Multi-criteria model to support the definition of opportunistic maintenance policy: A study in a cogeneration system

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  • Cavalcante, Cristiano A.V.
  • Lopes, Rodrigo S.

Abstract

This article discusses the policy of opportunistic maintenance, considering more than one decision criterion by using a multi-attribute value function, for a study developed for a cogeneration system that uses sugarcane bagasse at a power plant in northeastern Brazil, where policy defines what maintenance tasks should be adopted. These policies include minimal repairs, opportunistic maintenance, and preventive maintenance, and availability and cost are addressed based on the preferences of the decision maker. As a result, it was possible to define what the optimum maintenance action should be considering more than one decision criterion and taking into account the preference of the decision maker, from the definition of the decision rule, to determine when the actions of minimal repairs, opportunistic maintenance and preventive maintenance must be performed.

Suggested Citation

  • Cavalcante, Cristiano A.V. & Lopes, Rodrigo S., 2015. "Multi-criteria model to support the definition of opportunistic maintenance policy: A study in a cogeneration system," Energy, Elsevier, vol. 80(C), pages 32-40.
    • Handle: RePEc:eee:energy:v:80:y:2015:i:c:p:32-40
    DOI: 10.1016/j.energy.2014.11.039
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    Cited by:

    1. María Carmen Carnero & Andrés Gómez, 2018. "Optimization of Maintenance in Production and Storage Systems for Domestic Water," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 359-380, January.
    2. Zhang, Hongsheng & Zhao, Hongbin & Li, Zhenlin, 2016. "Thermodynamic performance study on solar-assisted absorption heat pump cogeneration system in the coal-fired power plant," Energy, Elsevier, vol. 116(P1), pages 942-955.
    3. 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.
    4. Zhou, Xiaojun & Yu, Mengqi, 2020. "Semi-dynamic maintenance scheduling for multi-station series systems in multi-specification and small-batch production," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    5. Cavalcante, Cristiano A.V. & Lopes, Rodrigo S. & Scarf, Philip A., 2021. "Inspection and replacement policy with a fixed periodic schedule," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    6. Renata Turisová & Hana Pačaiová & Zuzana Kotianová & Anna Nagyová & Michal Hovanec & Peter Korba, 2021. "Evaluation of eMaintenance Application Based on the New Version of the EFQM Model," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    7. Vazquez, Luis & Blanco, Jesús María & Ramis, Rolando & Peña, Francisco & Diaz, David, 2015. "Robust methodology for steady state measurements estimation based framework for a reliable long term thermal power plant operation performance monitoring," Energy, Elsevier, vol. 93(P1), pages 923-944.
    8. Isa, Normazlina Mat & Tan, Chee Wei & Yatim, A.H.M., 2018. "A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2236-2263.
    9. Seyedhosseini, Seyed Mohammad & Moakedi, Hamid & Shahanaghi, Kamran, 2018. "Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 141-156.
    10. Yang, Li & Ye, Zhi-sheng & Lee, Chi-Guhn & Yang, Su-fen & Peng, Rui, 2019. "A two-phase preventive maintenance policy considering imperfect repair and postponed replacement," European Journal of Operational Research, Elsevier, vol. 274(3), pages 966-977.
    11. 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.
    12. Carnero, María Carmen & Gómez, Andrés, 2017. "Maintenance strategy selection in electric power distribution systems," Energy, Elsevier, vol. 129(C), pages 255-272.
    13. Cavalcante, C.A.V. & Lopes, R.S. & Scarf, P.A., 2018. "A general inspection and opportunistic replacement policy for one-component systems of variable quality," European Journal of Operational Research, Elsevier, vol. 266(3), pages 911-919.
    14. Scarf, P.A. & Cavalcante, C.A.V. & Lopes, R.S., 2019. "Delay-time modelling of a critical system subject to random inspections," European Journal of Operational Research, Elsevier, vol. 278(3), pages 772-782.
    15. Truong Ba, H. & Cholette, M.E. & Borghesani, P. & Zhou, Y. & Ma, L., 2017. "Opportunistic maintenance considering non-homogenous opportunity arrivals and stochastic opportunity durations," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 151-161.

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