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Generalized geometric process and its application in maintenance problems

Guan Jun Wang*, Richard C.M. Yam

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    Since the repair effect may be varying with the number of repairs, we propose a generalized geometric process (GGP) to model the deteriorating process of repairable systems. For a GGP, the geometric ratio changes with the number of repairs rather than being a constant. Based on the GGP, two repair-replacement models are studied. Existing preventive maintenance (PM) models based on geometric process (GP) commonly assume that the PM is ‘as good as new’ in each working circle, which is not realistic in many situations. In this study, that the system is assumed to be geometrically deteriorating after PM or corrective maintenance (CM). Firstly, an age-dependent PM model is considered, in which the optimal policies N* and T* are obtained theoretically, and the optimal bivariate policy (N*, T*) which minimizes the average cost rate (ACR) can be determined by a searching algorithm. Next, because of the fact that the system deteriorates after maintenance, the schedule time to PM should decrease with the maintenance number increasing. Therefore, a sequential PM policy is investigated, and the optimal policy N* and the optimal schedule times T1 *,T2 *,…,TN * * are computed. Finally, numerical examples are provided to illustrate the proposed models.
    Original languageEnglish
    Pages (from-to)554-567
    JournalApplied Mathematical Modelling
    Volume49
    Online published18 May 2017
    DOIs
    Publication statusPublished - Sept 2017

    Research Keywords

    • Average cost rate
    • Generalized geometric process
    • Optimal policy
    • Preventive maintenance
    • Replacement

    RGC Funding Information

    • RGC-funded

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