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Reusable rocket engine preventive maintenance scheduling using genetic algorithm

Author

Listed:
  • Chen, Tao
  • Li, Jiawen
  • Jin, Ping
  • Cai, Guobiao

Abstract

This paper deals with the preventive maintenance (PM) scheduling problem of reusable rocket engine (RRE), which is different from the ordinary repairable systems, by genetic algorithm. Three types of PM activities for RRE are considered and modeled by introducing the concept of effective age. The impacts of PM on all subsystems' aging processes are evaluated based on improvement factor model. Then the reliability of engine is formulated by considering the accumulated time effect. After that, optimization model subjected to reliability constraint is developed for RRE PM scheduling at fixed interval. The optimal PM combination is obtained by minimizing the total cost in the whole life cycle for a supposed engine. Numerical investigations indicate that the subsystem's intrinsic reliability characteristic and the improvement factor of maintain operations are the most important parameters in RRE's PM scheduling management.

Suggested Citation

  • Chen, Tao & Li, Jiawen & Jin, Ping & Cai, Guobiao, 2013. "Reusable rocket engine preventive maintenance scheduling using genetic algorithm," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 52-60.
    • Handle: RePEc:eee:reensy:v:114:y:2013:i:c:p:52-60
    DOI: 10.1016/j.ress.2012.12.020
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    References listed on IDEAS

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    1. Zhou, Xiaojun & Lu, Zhiqiang & Xi, Lifeng, 2012. "Preventive maintenance optimization for a multi-component system under changing job shop schedule," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 14-20.
    2. Chou, Jui-Sheng & Le, Thanh-Son, 2011. "Reliability-based performance simulation for optimized pavement maintenance," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1402-1410.
    3. Bartholomew-Biggs, Michael & Zuo, Ming J. & Li, Xiaohu, 2009. "Modelling and optimizing sequential imperfect preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 53-62.
    4. DEDOPOULOS, Illias & SMEERS, Yves, 1998. "An age reduction appraoch for finite horizon optimization of preventive maintenance for single units subject to random failures," LIDAM Reprints CORE 1318, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

    1. Liang, Zhenglin & Parlikad, Ajith Kumar, 2020. "Predictive group maintenance for multi-system multi-component networks," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    2. Lin, Boliang & Wu, Jianping & Lin, Ruixi & Wang, Jiaxi & Wang, Hui & Zhang, Xuhui, 2019. "Optimization of high-level preventive maintenance scheduling for high-speed trains," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 261-275.
    3. Shijin Wang & Ming Liu, 2016. "Two-machine flow shop scheduling integrated with preventive maintenance planning," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 672-690, February.
    4. Liu, Yulang & Chen, Jinglong & Wang, Tiantian & Li, Aimin & Pan, Tongyang, 2023. "A variational transformer for predicting turbopump bearing condition under diverse degradation processes," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    5. Debesh Mishra & Suchismita Satapathy, 2023. "Reliability and maintenance of agricultural machinery by MCDM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 135-146, February.
    6. Anil Kr. Aggarwal & Vikram Singh & Sanjeev Kumar, 2017. "Availability analysis and performance optimization of a butter oil production system: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 538-554, January.

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