IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7912754.html
   My bibliography  Save this article

Research on Flexible Equipment Maintenance Process Scheduling Problems Based on HNSGSA Algorithm

Author

Listed:
  • Weixing Song
  • Jianshe Kang
  • Jingjing Wu
  • Hui Jia
  • Huiqiang Chang

Abstract

The characteristics of military equipment maintenance work are analyzed. According to the actual needs of the army, the optimization objective is designed, and a multiobjective flexible maintenance process optimization model is built based on the maintenance business organization process. Combining the advantages of NSGA-II algorithm and the simulated annealing algorithm, this paper proposes a novel improved HNSGSA algorithm, of which algorithm flow is detailed. In accordance with the requirements of the optimization model, this paper also specifically designs the coding methods of the process sequence, the equipment selection and the process scheduling, and the corresponding cross mutation method. The feasibility of the built model is verified by the actual data of maintenance business. And, the superiority, accuracy, and effectiveness of the proposed algorithm are further validated by the comparison with the NSGA-II algorithm and the simulated annealing algorithm, providing a scientific reference for the army to carry out equipment maintenance.

Suggested Citation

  • Weixing Song & Jianshe Kang & Jingjing Wu & Hui Jia & Huiqiang Chang, 2021. "Research on Flexible Equipment Maintenance Process Scheduling Problems Based on HNSGSA Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-19, August.
    • Handle: RePEc:hin:jnlmpe:7912754
    DOI: 10.1155/2021/7912754
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/7912754.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2021/7912754.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/7912754?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:7912754. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.