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Reducing costs by clustering maintenance activities for multiple critical units

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  • de Jonge, Bram
  • Klingenberg, Warse
  • Teunter, Ruud
  • Tinga, Tiedo

Abstract

Advances in sensor technology have enabled companies to make significant progress towards achieving condition-based maintenance (CBM). CBM provides the opportunity to perform maintenance actions more effectively. However, scheduling maintenance at the unit level may imply a high maintenance frequency at the asset level, which can be costly and undesirable for safety reasons. In this paper, we consider systems consisting of multiple critical units for which a strict and conservative maintenance strategy is enforced. Although this implies that benefits cannot be obtained by delaying maintenance activities, the clustering of them can be beneficial. We consider two simple, practical systems for condition monitoring that involve either one signal (alarm) or two signals (alert, alarm). Our analysis and results provide general insights into when and how to cluster maintenance operations, with the objective of minimizing the total maintenance costs. Moreover, they show that clustering is essential for a broad range of circumstances, including those at a considered real-life case of equipment maintenance at Europe׳s largest gas field.

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  • de Jonge, Bram & Klingenberg, Warse & Teunter, Ruud & Tinga, Tiedo, 2016. "Reducing costs by clustering maintenance activities for multiple critical units," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 93-103.
  • Handle: RePEc:eee:reensy:v:145:y:2016:i:c:p:93-103
    DOI: 10.1016/j.ress.2015.09.003
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    References listed on IDEAS

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    Cited by:

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    2. Uit Het Broek, Michiel A.J. & Teunter, Ruud H. & de Jonge, Bram & Veldman, Jasper, 2021. "Joint condition-based maintenance and load-sharing optimization for two-unit systems with economic dependency," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1119-1131.
    3. Erkoyuncu, John Ahmet & Khan, Samir & Eiroa, Alexandre López & Butler, Nigel & Rushton, Keith & Brocklebank, Simon, 2017. "Perspectives on trading cost and availability for corrective maintenance at the equipment type level," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 53-69.
    4. Zhu, Qiushi & Peng, Hao & Timmermans, Bas & van Houtum, Geert-Jan, 2017. "A condition-based maintenance model for a single component in a system with scheduled and unscheduled downs," International Journal of Production Economics, Elsevier, vol. 193(C), pages 365-380.
    5. da Costa, Paulo & Verleijsdonk, Peter & Voorberg, Simon & Akcay, Alp & Kapodistria, Stella & van Jaarsveld, Willem & Zhang, Yingqian, 2023. "Policies for the dynamic traveling maintainer problem with alerts," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1141-1152.
    6. Poppe, Joeri & Boute, Robert N. & Lambrecht, Marc R., 2018. "A hybrid condition-based maintenance policy for continuously monitored components with two degradation thresholds," European Journal of Operational Research, Elsevier, vol. 268(2), pages 515-532.
    7. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    8. Havinga, Maik J.A. & de Jonge, Bram, 2020. "Condition-based maintenance in the cyclic patrolling repairman problem," International Journal of Production Economics, Elsevier, vol. 222(C).
    9. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    10. Briš, Radim & Byczanski, Petr & Goňo, Radomír & Rusek, Stanislav, 2017. "Discrete maintenance optimization of complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 80-89.

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