IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v233y2019i6p978-989.html
   My bibliography  Save this article

An optimal preventive maintenance strategy for the hydraulic system of platform firefighting vehicle based on the improved NSGA-II algorithm

Author

Listed:
  • Rumin Teng
  • Jifei Liang
  • Guanglei Wu
  • Dianlong Wang
  • Xin Wang

Abstract

Based on the reliability analysis, this work presents a model of the preventive maintenance for the hydraulic system of platform firefighting vehicle, considering the working age regression factor and the equivalent service life. In this model, both the equipment availability and average maintenance cost are treated as the objective functions and constrained by the equipment reliability as well as the total working time. The non-dominated sorting genetic algorithm II (NSGA-II) algorithm is adopted to solve the previous optimization problem, wherein the constrained inequality functions in the stages of initialization, mutation, and crossover are introduced to assess the solution to meet the constraints or not, through the improvements in three aspects, namely, the improvement of the algorithm’s initialization to ensure the initial variables meet the equality constraint, the utilization of the mean division of the difference values to adjust the variables after the selection, and crossover and mutation of the gene. Numerical analysis is carried out to verify the feasibility of the improved algorithm, wherefrom the Pareto-optimal solutions for the preventive maintenance of the platform firefighting vehicle are obtained to provide the optimum strategy for the service engineers with different weighted factors.

Suggested Citation

  • Rumin Teng & Jifei Liang & Guanglei Wu & Dianlong Wang & Xin Wang, 2019. "An optimal preventive maintenance strategy for the hydraulic system of platform firefighting vehicle based on the improved NSGA-II algorithm," Journal of Risk and Reliability, , vol. 233(6), pages 978-989, December.
  • Handle: RePEc:sae:risrel:v:233:y:2019:i:6:p:978-989
    DOI: 10.1177/1748006X19849752
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X19849752
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1748006X19849752?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pongpech, J. & Murthy, D.N.P., 2006. "Optimal periodic preventive maintenance policy for leased equipment," Reliability Engineering and System Safety, Elsevier, vol. 91(7), pages 772-777.
    2. M. Stopczyk & B. Sakowicz & G.J. Anders, 2008. "Application of a semi-Markov model and a simulated annealing algorithm for the selection of an optimal maintenance policy for power equipment," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 2(1/2), pages 129-145.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ben Mabrouk, A. & Chelbi, A. & Radhoui, M., 2016. "Optimal imperfect maintenance strategy for leased equipment," International Journal of Production Economics, Elsevier, vol. 178(C), pages 57-64.
    2. Ruey Yeh & Wen Chang & Hui-Chiung Lo, 2010. "Optimal threshold values of age and two-phase maintenance policy for leased equipments using age reduction method," Annals of Operations Research, Springer, vol. 181(1), pages 171-183, December.
    3. Hamidi, Maryam & Liao, Haitao & Szidarovszky, Ferenc, 2016. "Non-cooperative and cooperative game-theoretic models for usage-based lease contracts," European Journal of Operational Research, Elsevier, vol. 255(1), pages 163-174.
    4. Yi Ding & Anatoly Lisnianski & Ilia Frenkel & Lev Khvatskin, 2009. "Optimal corrective maintenance contract planning for aging multi‐state system," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(5), pages 612-631, September.
    5. Sharafali, Moosa & Tarakci, Hakan & Kulkarni, Shailesh & Razack Shahul Hameed, Raja Abdul, 2019. "Optimal delivery due date for a supplier with an unreliable machine under outsourced maintenance," International Journal of Production Economics, Elsevier, vol. 208(C), pages 53-68.
    6. Zhu, Ying & Xia, Tangbin & Chen, Zhen & Pan, Ershun & Xi, Lifeng, 2022. "Optimal maintenance service strategy for OEM entering competitive MRO market under opposite patterns," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    7. Zhou, Xiaojun & Wu, Changjie & Li, Yanting & Xi, Lifeng, 2016. "A preventive maintenance model for leased equipment subject to internal degradation and external shock damage," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 1-7.
    8. Jackson, Canek & Pascual, Rodrigo & Mac Cawley, Alejandro & Godoy, Sergio, 2023. "Product–service system negotiation in aircraft lease contracts with option of disagreement," Journal of Air Transport Management, Elsevier, vol. 107(C).
    9. Si, Guojin & Xia, Tangbin & Zhu, Ying & Du, Shichang & Xi, Lifeng, 2019. "Triple-level opportunistic maintenance policy for leasehold service network of multi-location production lines," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    10. Jackson, Canek & Pascual, Rodrigo, 2021. "Joint pricing and maintenance strategies in availability-based product-service systems under different overhaul conditions," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    11. Xia, Tangbin & Cao, Lei & Xu, Yuhui & Zhang, Kaigan & Chen, Zhen & Pan, Ershun & Xi, Lifeng, 2024. "Multi-level maintenance and inventory joint optimization for a k-out-of-n hyper-system considering the selection of suppliers with incentive discount policies," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    12. Xia, Tangbin & Sun, Bowen & Chen, Zhen & Pan, Ershun & Wang, Hao & Xi, Lifeng, 2021. "Opportunistic maintenance policy integrating leasing profit and capacity balancing for serial-parallel leased systems," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    13. Shafiee, Mahmood & Chukova, Stefanka, 2013. "Maintenance models in warranty: A literature review," European Journal of Operational Research, Elsevier, vol. 229(3), pages 561-572.
    14. Cha, Ji Hwan, 2016. "New stochastic models for preventive maintenance and maintenance optimizationAuthor-Name: Lee, Hyunju," European Journal of Operational Research, Elsevier, vol. 255(1), pages 80-90.
    15. Huang, Yeu-Shiang & Ho, Jyh-Wen & Hung, Jin-Wei & Tseng, Tzu-Liang (Bill), 2021. "A customized warranty model by considering multi-usage levels for the leasing industry," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    16. Wu, Shaomin, 2012. "Assessing maintenance contracts when preventive maintenance is outsourced," Reliability Engineering and System Safety, Elsevier, vol. 98(1), pages 66-72.
    17. Xia, Tangbin & Dong, Yifan & Xiao, Lei & Du, Shichang & Pan, Ershun & Xi, Lifeng, 2018. "Recent advances in prognostics and health management for advanced manufacturing paradigms," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 255-268.
    18. Wu, Jun & Xie, Min & Adam Ng, Tsan Sheng, 2011. "On a general periodic preventive maintenance policy incorporating warranty contracts and system ageing losses," International Journal of Production Economics, Elsevier, vol. 129(1), pages 102-110, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:233:y:2019:i:6:p:978-989. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.