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(m,T) Group Maintenance Policies

Author

Listed:
  • Peter Ritchken

    (Department of Operations Research, Weatherhead School of Management, Case Western Reserve University, Cleveland, Ohio 44106)

  • John G. Wilson

    (Department of Operations Research, Weatherhead School of Management, Case Western Reserve University, Cleveland, Ohio 44106)

Abstract

A model that recognizes the advantages of coordinated group maintenance planning is established. The maintenance policy that is investigated calls for group maintenance to be conducted at time T or upon m failures, whichever comes first. This policy combines the best features of the well-known T-age and m-failure replacement policies. Using a renewal approach the economic objective is to minimize the long-run (expected) average cost per unit time. General cost structures and failure time distributions are allowed. An algorithm that does not require unimodality properties is provided for computing optimal policies for general failure time distribution and cost structures.

Suggested Citation

  • Peter Ritchken & John G. Wilson, 1990. "(m,T) Group Maintenance Policies," Management Science, INFORMS, vol. 36(5), pages 632-639, May.
    • Handle: RePEc:inm:ormnsc:v:36:y:1990:i:5:p:632-639
    DOI: 10.1287/mnsc.36.5.632
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    Citations

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    Cited by:

    1. Nourelfath, Mustapha & Châtelet, Eric, 2012. "Integrating production, inventory and maintenance planning for a parallel system with dependent components," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 59-66.
    2. Liu, Gia-Shie, 2011. "Dynamic group instantaneous replacement policies for unreliable Markovian service systems," International Journal of Production Economics, Elsevier, vol. 130(2), pages 203-217, April.
    3. Rommert Dekker & J. Robert van der Meer & Raymond Ph. Plasmeijer & Ralph E. Wildeman & Jacco J. de Bruin, 1996. "Maintenance of Light Standards, a Case-Study," Tinbergen Institute Discussion Papers 96-166/9, Tinbergen Institute.
    4. 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.
    5. Erguido, A. & Crespo Márquez, A. & Castellano, E. & Gómez Fernández, J.F., 2017. "A dynamic opportunistic maintenance model to maximize energy-based availability while reducing the life cycle cost of wind farms," Renewable Energy, Elsevier, vol. 114(PB), pages 843-856.
    6. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    7. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    8. Sheu, Shey-Huei & Jhang, Jhy-Ping, 1997. "A generalized group maintenance policy," European Journal of Operational Research, Elsevier, vol. 96(2), pages 232-247, January.
    9. Abderrahmane Abbou & Viliam Makis, 2019. "Group Maintenance: A Restless Bandits Approach," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 719-731, October.

    More about this item

    Keywords

    reliability; replacement policies;

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