IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v69y2018i6p959-970.html
   My bibliography  Save this article

Modelling crew scheduling in offshore supply vessels

Author

Listed:
  • Alex Leggate
  • Seda Sucu
  • Kerem Akartunalı
  • Robert van der Meer

Abstract

Crew scheduling problems have been widely studied in various transportation sectors, such as airlines, railways, and urban buses. However to date it appears that application of these problems in sea transport has been very limited. In this paper, we explore key differences between various transport settings, and propose mixed-integer programming formulations for both the crew scheduling and re-scheduling problems for a company operating a fleet of offshore supply vessels (OSVs) on a global scale. Computational results on an extensive set of problems show that our proposed models are practically applicable to generate real-time solutions. We also present a thorough statistical analysis of key problem parameters, and share insights regarding their impacts.

Suggested Citation

  • Alex Leggate & Seda Sucu & Kerem Akartunalı & Robert van der Meer, 2018. "Modelling crew scheduling in offshore supply vessels," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(6), pages 959-970, June.
    • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:6:p:959-970
    DOI: 10.1080/01605682.2017.1390531
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2017.1390531
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01605682.2017.1390531?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.

    Citations

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


    Cited by:

    1. Daniel Rippel & Fatemeh Abasian Foroushani & Michael Lütjen & Michael Freitag, 2021. "A Crew Scheduling Model to Incrementally Optimize Workforce Assignments for Offshore Wind Farm Constructions," Energies, MDPI, vol. 14(21), pages 1-21, October.

    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:tjorxx:v:69:y:2018:i:6:p:959-970. 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/tjor .

    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.