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Optimal periodic maintenance policy under imperfect repair: A case study on the engines of off-road vehicles

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  • Maria Luíza Guerra de Toledo
  • Marta A. Freitas
  • Enrico A. Colosimo
  • Gustavo L. Gilardoni

Abstract

In the repairable systems literature one can find a great number of papers that propose maintenance policies under the assumption of minimal repair after each failure (such a repair leaves the system in the same condition as it was just before the failure—as bad as old). This article derives a statistical procedure to estimate the optimal Preventive Maintenance (PM) periodic policy, under the following two assumptions: (i) perfect repair at each PM action (i.e., the system returns to the as-good-as-new state) and (ii) imperfect system repair after each failure (the system returns to an intermediate state between as bad as old and as good as new). Models for imperfect repair have already been presented in the literature. However, an inference procedure for the quantities of interest has not yet been fully studied. In the present article, statistical methods, including the likelihood function, Monte Carlo simulation, and bootstrap resampling methods, are used in order to (i) estimate the degree of efficiency of a repair and (ii) obtain the optimal PM check points that minimize the expected total cost. This study was motivated by a real situation involving the maintenance of engines in off-road vehicles.

Suggested Citation

  • Maria Luíza Guerra de Toledo & Marta A. Freitas & Enrico A. Colosimo & Gustavo L. Gilardoni, 2016. "Optimal periodic maintenance policy under imperfect repair: A case study on the engines of off-road vehicles," IISE Transactions, Taylor & Francis Journals, vol. 48(8), pages 747-758, August.
    • Handle: RePEc:taf:uiiexx:v:48:y:2016:i:8:p:747-758
    DOI: 10.1080/0740817X.2016.1147663
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    Cited by:

    1. Dui, Hongyan & Chen, Shuanshuan & Wang, Jia, 2021. "Failure-oriented maintenance analysis of nodes and edges in network systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Yongjun Du & Lijun Shang & Qingan Qiu & Li Yang, 2022. "Optimum Post-Warranty Maintenance Policies for Products with Random Working Cycles," Mathematics, MDPI, vol. 10(10), pages 1-16, May.
    3. Beutner, Eric, 2023. "A review of effective age models and associated non- and semiparametric methods," Econometrics and Statistics, Elsevier, vol. 28(C), pages 105-119.
    4. Dui, Hongyan & Chen, Shuanshuan & Zhou, Yanjie & Wu, Shaomin, 2022. "Maintenance analysis of transportation networks by the traffic transfer principle considering node idle capacity," Reliability Engineering and System Safety, Elsevier, vol. 221(C).

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