IDEAS home Printed from https://ideas.repec.org/a/wly/apsmbi/v24y2008i3p261-275.html
   My bibliography  Save this article

Stochastic models for air cargo terminal manpower supply planning in long‐term operations

Author

Listed:
  • Shangyao Yan
  • Chia‐Hung Chen
  • Miawjane Chen

Abstract

In this research, based on two deterministic‐demand planning models, we established two long‐term stochastic‐demand planning models by incorporating the stochastic disturbances of manpower demands that occur in actual operations. The models are formulated as mixed integer linear programs that are solved using a mathematical programming solver. To compare the performance of the two stochastic‐demand and two deterministic‐demand planning models under the stochastic demands that occur in actual operations, we further develop a simulation‐based evaluation method. Finally, we perform numerical tests using real operating data from a Taiwan air cargo terminal. The preliminary results show that the stochastic models could be useful for planning air cargo terminal manpower supply. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Shangyao Yan & Chia‐Hung Chen & Miawjane Chen, 2008. "Stochastic models for air cargo terminal manpower supply planning in long‐term operations," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(3), pages 261-275, May.
  • Handle: RePEc:wly:apsmbi:v:24:y:2008:i:3:p:261-275
    DOI: 10.1002/asmb.710
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asmb.710
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asmb.710?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
    ---><---

    Citations

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


    Cited by:

    1. Hyun Jun Yang & Suk Jae Jeong & Sung Wook Yoon, 2020. "Enhancement for human resource management in the ULD build-up process of air-cargo terminal: a strategic linkage approach," Journal of Heuristics, Springer, vol. 26(2), pages 301-333, April.
    2. Artur Kierzkowski & Tomasz Kisiel & Piotr Uchroński & Andrija Vidović, 2023. "Simulation Model for Sustainable Management of the Air Cargo Screening Process," Energies, MDPI, vol. 16(21), pages 1-12, October.
    3. Sanja Petrovic, 2019. "“You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice," Annals of Operations Research, Springer, vol. 275(1), pages 161-179, April.
    4. Brandt, Felix & Nickel, Stefan, 2019. "The air cargo load planning problem - a consolidated problem definition and literature review on related problems," European Journal of Operational Research, Elsevier, vol. 275(2), pages 399-410.

    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:wly:apsmbi:v:24:y:2008:i:3:p:261-275. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1526-4025 .

    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.