IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v57y2019i18p5842-5856.html
   My bibliography  Save this article

Integrated modelling and algorithm of material delivery and line-side storage for aircraft moving assembly lines

Author

Listed:
  • Zhiqiang Lu
  • Hongwei Zhu
  • Xiaole Han
  • Xinming Hu

Abstract

This paper considers the material supply problem for aircraft moving assembly lines. Distinguished from general automobile assembly lines, multiple parallel jobs are assembled concurrently and durations of assembly jobs are quite long, thus amounts of materials are orderly stored at the line-side space at the same time. In addition, the line-side space should be reused in the time dimension. With these characteristics, decisions on line-side storage of materials were introduced on the basis of material batching and tow-trains scheduling problems. An integrated decision–making mathematical model with the objective of minimising the number of deliveries was established. A hybrid endocrine-immune algorithm (HEIA) was proposed to jointly make decisions on the delivery batch, delivery time and storage positions of each job’s materials. Numerical experiments with the real-world data and randomly generated instances validate the effectiveness and efficiency of HEIA.

Suggested Citation

  • Zhiqiang Lu & Hongwei Zhu & Xiaole Han & Xinming Hu, 2019. "Integrated modelling and algorithm of material delivery and line-side storage for aircraft moving assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5842-5856, September.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:18:p:5842-5856
    DOI: 10.1080/00207543.2018.1554917
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2018.1554917
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2018.1554917?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
    ---><---

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

    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:taf:tprsxx:v:57:y:2019:i:18:p:5842-5856. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.