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Scheduling preventive maintenance for modular designed components: A dynamic approach

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  • Joo, Seong-Jong
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    Abstract

    One of the benefits of modular design is ease-of-service. While modular design helps simplify field maintenance, extensive depot maintenance and spare modules are required to support the field maintenance. This study develops a dynamic approach for scheduling preventive maintenance at a depot with the limited availability of spare modules and other constraints. A backward allocation algorithm is proposed and applied to scheduling the preventive maintenance of an engine module installed in T-59 advanced jet trainers in the Republic of Korea Air Force. The algorithm developed by this study can be used to solve similar problems for various systems such as aerospace vehicles, heavy machinery, and medical equipment. The contribution of this study includes the uniqueness of the algorithm, the flexibility to deal with variables changing over time, and the ability to incorporate additional variables to handle complex situations.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 192 (2009)
    Issue (Month): 2 (January)
    Pages: 512-520

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    Handle: RePEc:eee:ejores:v:192:y:2009:i:2:p:512-520

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Dynamic programming Inventory Maintenance OR in military Scheduling;

    References

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    1. Karmarkar, Uday S. & Kubat, Peter, 1987. "Modular product design and product support," European Journal of Operational Research, Elsevier, vol. 29(1), pages 74-82, April.
    2. Kralj, Branimir & Petrovic, Radivoj, 1995. "A multiobjective optimization approach to thermal generating units maintenance scheduling," European Journal of Operational Research, Elsevier, vol. 84(2), pages 481-493, July.
    3. Percy, David F. & Kobbacy, Khairy A. H., 2000. "Determining economical maintenance intervals," International Journal of Production Economics, Elsevier, vol. 67(1), pages 87-94, August.
    4. Francis de VĂ©ricourt & Fikri Karaesmen & Yves Dallery, 2002. "Optimal Stock Allocation for a Capacitated Supply System," Management Science, INFORMS, vol. 48(11), pages 1486-1501, November.
    5. Grigoriev, Alexander & van de Klundert, Joris & Spieksma, Frits C.R., 2006. "Modeling and solving the periodic maintenance problem," European Journal of Operational Research, Elsevier, vol. 172(3), pages 783-797, August.
    6. John A. Muckstadt, 1973. "A Model for a Multi-Item, Multi-Echelon, Multi-Indenture Inventory System," Management Science, INFORMS, vol. 20(4-Part-I), pages 472-481, December.
    7. Chareonsuk, Chaichan & Nagarur, Nagen & Tabucanon, Mario T., 1997. "A multicriteria approach to the selection of preventive maintenance intervals," International Journal of Production Economics, Elsevier, vol. 49(1), pages 55-64, March.
    8. Ulusoy, Gunduz & Or, Ilhan & Soydan, Nezih, 1992. "Design and implementation of a maintenance planning and control system," International Journal of Production Economics, Elsevier, vol. 24(3), pages 263-272, March.
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    Cited by:
    1. Go, Hun & Kim, Ji-Su & Lee, Dong-Ho, 2013. "Operation and preventive maintenance scheduling for containerships: Mathematical model and solution algorithm," European Journal of Operational Research, Elsevier, vol. 229(3), pages 626-636.

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