IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v63y2012i8p1116-1125.html
   My bibliography  Save this article

Scheduling de-icing vehicles within airport logistics: a heuristic algorithm and performance evaluation

Author

Listed:
  • A Norin

    (1] Linköping University, Norrköping, Sweden[2] Swedavia Teknik, Swedish Airports, Norrköping, Sweden)

  • D Yuan

    (Linköping University, Norrköping, Sweden)

  • T A Granberg

    (Linköping University, Norrköping, Sweden)

  • P V&aauml;rbrand

    (Linköping University, Norrköping, Sweden)

Abstract

Most delays in the air transport occur at the airport. A particular reason is the complexity of managing the large number of supporting flows in airport logistics. We consider the optimisation problem of scheduling de-icing vehicles that is one of the key supporting logistic flows in the turn-around process of aircraft. The objective is to minimise the delay of flights due to de-icing, and the travel distance of the de-icing vehicles. We study the complexity of the problem, and develop a solution algorithm using greedy randomised adaptive search. A case study of real-life data from Stockholm Arlanda Airport shows that optimised schedule leads to significantly better performance in comparison to intuitive and simple scheduling strategies. The benefit of optimisation in reducing the waiting time for de-icing is further demonstrated via dynamic simulations.

Suggested Citation

  • A Norin & D Yuan & T A Granberg & P V&aauml;rbrand, 2012. "Scheduling de-icing vehicles within airport logistics: a heuristic algorithm and performance evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(8), pages 1116-1125, August.
    • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:8:p:1116-1125
    as

    Download full text from publisher

    File URL: http://www.palgrave-journals.com/jors/journal/v63/n8/pdf/jors2011100a.pdf
    File Function: Link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: http://www.palgrave-journals.com/jors/journal/v63/n8/full/jors2011100a.html
    File Function: Link to full text HTML
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ivan Kovynyov & Ralf Mikut, 2019. "Digital technologies in airport ground operations," Netnomics, Springer, vol. 20(1), pages 1-30, April.
    2. Zhang, Zhenzhen & Che, Yuxin & Liang, Zhe, 2024. "Split-demand multi-trip vehicle routing problem with simultaneous pickup and delivery in airport baggage transit," European Journal of Operational Research, Elsevier, vol. 312(3), pages 996-1010.
    3. Han, Xue & Zhao, Peixin & Kong, Dexin, 2023. "Two-stage optimization of airport ferry service delay considering flight uncertainty," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1103-1116.
    4. Zhao, Peixin & Han, Xue & Wan, Di, 2021. "Evaluation of the airport ferry vehicle scheduling based on network maximum flow model," Omega, Elsevier, vol. 99(C).
    5. Xue Han & Peixin Zhao & Qingchun Meng & Shengnan Yin & Di Wan, 2020. "Optimal scheduling of airport ferry vehicles based on capacity network," Annals of Operations Research, Springer, vol. 295(1), pages 163-182, December.
    6. Silvia Padrón & Daniel Guimarans, 2019. "An Improved Method for Scheduling Aircraft Ground Handling Operations From a Global Perspective," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(04), pages 1-25, August.
    7. Schultz, Michael & Evler, Jan & Asadi, Ehsan & Preis, Henning & Fricke, Hartmut & Wu, Cheng-Lung, 2020. "Future aircraft turnaround operations considering post-pandemic requirements," Journal of Air Transport Management, Elsevier, vol. 89(C).
    8. Bao, Dan-Wen & Zhou, Jia-Yi & Zhang, Zi-Qian & Chen, Zhuo & Kang, Di, 2023. "Mixed fleet scheduling method for airport ground service vehicles under the trend of electrification," Journal of Air Transport Management, Elsevier, vol. 108(C).

    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:pal:jorsoc:v:63:y:2012:i:8:p:1116-1125. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.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.