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Opportunistic perfect preventive maintenance policy in presence of masked data

Author

Listed:
  • Hasan Misaii
  • Firoozeh Haghighi
  • Mitra Fouladirad

Abstract

In this paper, the maintenance optimization problem of multi-component system is considered. It is assumed that the exact cause of system failure might be masked. That is, the exact cause of failure is unknown, and we only know that it belongs to a set called mask set. Both opportunistic perfect preventive maintenance (OPPM) and perfect corrective maintenance are considered. Threshold of OPPM and inter-inspection interval are considered as decision parameters which are optimized using long-run cost rate criteria. The applicability of the proposed maintenance policy is investigated using an illustrative example.

Suggested Citation

  • Hasan Misaii & Firoozeh Haghighi & Mitra Fouladirad, 2022. "Opportunistic perfect preventive maintenance policy in presence of masked data," Journal of Risk and Reliability, , vol. 236(6), pages 1024-1036, December.
    • Handle: RePEc:sae:risrel:v:236:y:2022:i:6:p:1024-1036
    DOI: 10.1177/1748006X211058936
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    References listed on IDEAS

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    1. Menachem Berg & Benjamin Epstein, 1976. "A modified block replacement policy," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 23(1), pages 15-24, March.
    2. Pham, Hoang & Wang, Hongzhou, 1996. "Imperfect maintenance," European Journal of Operational Research, Elsevier, vol. 94(3), pages 425-438, November.
    3. Berg, Menachem, 1976. "Optimal replacement policies for two-unit machines with increasing running costs 1," Stochastic Processes and their Applications, Elsevier, vol. 4(1), pages 89-106, January.
    4. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    5. Cristiano A. V. Cavalcante & Rodrigo S. Lopes, 2014. "Opportunistic Maintenance Policy for a System with Hidden Failures: A Multicriteria Approach Applied to an Emergency Diesel Generator," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-11, August.
    6. Jing Cai & Yimin Shi & Yongjin Zhang, 2020. "Robust Bayesian analysis for parallel system with masked data under inverse Weibull lifetime distribution," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(6), pages 1422-1434, March.
    7. D. W. Jorgenson & J. J. McCall, 1963. "Optimal Replacement Policies for a Ballistic Missile," Management Science, INFORMS, vol. 9(3), pages 358-379, April.
    8. Kuo, Lynn & Yang, Tae Young, 2000. "Bayesian reliability modeling for masked system lifetime data," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 229-241, April.
    9. Roy Radner & Dale W. Jorgenson, 1963. "Opportunistic Replacement of a Single Part in the Presence of Several Monitored Parts," Management Science, INFORMS, vol. 10(1), pages 70-84, October.
    10. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    11. J. J. McCall, 1963. "Operating Characteristics of Opportunistic Replacement and Inspection Policies," Management Science, INFORMS, vol. 10(1), pages 85-97, October.
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