IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i10p1591-d1397764.html
   My bibliography  Save this article

Uncertainty Analysis of Aircraft Center of Gravity Deviation and Passenger Seat Allocation Optimization

Author

Listed:
  • Xiangling Zhao

    (Air Traffic Management Institute, Civil Aviation University of China, Tianjin 300300, China)

  • Wenheng Xiao

    (Air Traffic Management Institute, Civil Aviation University of China, Tianjin 300300, China)

Abstract

The traditional method of allocating passenger seats based on compartments does not effectively manage an aircraft’s center of gravity (CG), resulting in a notable divergence from the desired target CG (TCG). In this work, the Boeing B737-800 aircraft was employed as a case study, and row-based and compartment-based integer programming models for passenger allocation were examined and constructed with the aim of addressing the current situation. The accuracy of CG control was evaluated by comparing the row-based and compartment-based allocation techniques, taking into account different bodyweights and numbers of passengers. The key contribution of this research is to broaden the range of the mobilizable set for the aviation weight and balance (AWB) model, resulting in a significant reduction in the range of deviations in the center of gravity outcomes by a factor of around 6 to 16. The effectiveness of the row-based allocation approach and the impact of passenger weight randomness on the deviation of an airplane’s CG were also investigated in this study. The Monte Carlo method was utilized to quantify the uncertainty associated with passenger weight, resulting in the generation of the posterior distribution of the aircraft’s center of gravity (CG) deviation. The outcome of the row-based model test is the determination of the range of passenger numbers that can be effectively allocated under different TCG conditions.

Suggested Citation

  • Xiangling Zhao & Wenheng Xiao, 2024. "Uncertainty Analysis of Aircraft Center of Gravity Deviation and Passenger Seat Allocation Optimization," Mathematics, MDPI, vol. 12(10), pages 1-18, May.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1591-:d:1397764
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/10/1591/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/10/1591/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:12:y:2024:i:10:p:1591-:d:1397764. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.