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A condition based maintenance model for a two-unit series system

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  • Barbera, Fran
  • Schneider, Helmut
  • Watson, Ed

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  • Barbera, Fran & Schneider, Helmut & Watson, Ed, 1999. "A condition based maintenance model for a two-unit series system," European Journal of Operational Research, Elsevier, vol. 116(2), pages 281-290, July.
    • Handle: RePEc:eee:ejores:v:116:y:1999:i:2:p:281-290
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    References listed on IDEAS

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    1. Richard M. Feldman, 1977. "Optimal Replacement with Semi-Markov Shock Models Using Discounted Costs," Mathematics of Operations Research, INFORMS, vol. 2(1), pages 78-90, February.
    2. Süleyman Özekici, 1988. "Optimal Periodic Replacement of Multicomponent Reliability Systems," Operations Research, INFORMS, vol. 36(4), pages 542-552, August.
    3. E. Nummelin, 1980. "A General Failure Model: Optimal Replacement with State Dependent Replacement and Failure Costs," Mathematics of Operations Research, INFORMS, vol. 5(3), pages 381-387, August.
    4. Gary Gottlieb, 1982. "Optimal Replacement for Shock Models with General Failure Rate," Operations Research, INFORMS, vol. 30(1), pages 82-92, February.
    5. Norihiro Mizuno, 1986. "Generalized Mathematical Programming for Optimal Replacement in a Semi-Markov Shock Model," Operations Research, INFORMS, vol. 34(5), pages 790-795, October.
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    Cited by:

    1. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper, 2016. "Clustering condition-based maintenance for systems with redundancy and economic dependencies," European Journal of Operational Research, Elsevier, vol. 251(2), pages 531-540.
    2. KarabaÄŸ, Oktay & Eruguz, Ayse Sena & Basten, Rob, 2020. "Integrated optimization of maintenance interventions and spare part selection for a partially observable multi-component system," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    3. Do, Phuc & Assaf, Roy & Scarf, Phil & Iung, Benoit, 2019. "Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 86-97.
    4. Hong, H.P. & Zhou, W. & Zhang, S. & Ye, W., 2014. "Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 276-288.
    5. Zhu, Y. & Elsayed, E.A. & Liao, H. & Chan, L.Y., 2010. "Availability optimization of systems subject to competing risk," European Journal of Operational Research, Elsevier, vol. 202(3), pages 781-788, May.
    6. Carnero, MaCarmen, 2006. "An evaluation system of the setting up of predictive maintenance programmes," Reliability Engineering and System Safety, Elsevier, vol. 91(8), pages 945-963.
    7. Najafi, Seyedvahid & Zheng, Rui & Lee, Chi-Guhn, 2021. "An optimal opportunistic maintenance policy for a two-unit series system with general repair using proportional hazards models," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    8. Hu, Jason & Watson, Edward & Schneider, Helmut, 2005. "Approximate solutions for multi-location inventory systems with transshipments," International Journal of Production Economics, Elsevier, vol. 97(1), pages 31-43, July.
    9. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    10. Zhang, Xiaohong & Zeng, Jianchao, 2015. "A general modeling method for opportunistic maintenance modeling of multi-unit systems," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 176-190.
    11. Ming-Yi You & Guang Meng, 2012. "A modularized framework for predictive maintenance scheduling," Journal of Risk and Reliability, , vol. 226(4), pages 380-391, August.
    12. Wang, Ling & Chu, Jian & Mao, Weijie, 2009. "A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure," European Journal of Operational Research, Elsevier, vol. 194(1), pages 184-205, April.

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