IDEAS home Printed from https://ideas.repec.org/a/taf/thssxx/v5y2016i3p166-177.html
   My bibliography  Save this article

Lessons from mixing OR methods in practice: using DES and SD to explore a radiotherapy treatment planning process

Author

Listed:
  • Jennifer Sian Morgan
  • Val Belton
  • Susan Howick

Abstract

Mixing Operational Research (OR) methods is becoming more commonplace. Discrete-Event Simulation (DES) and System Dynamics (SD) are popular modelling methods previously applied to a range of situations for various purposes, which are starting to be mixed in healthcare. However, the practicalities of mixing DES and SD in practice remain unclear. Radiotherapy treatment is a complex multi-stage process where technology and best practice continue to evolve. This paper describes a project undertaken to explore the treatment planning process using mixed OR methods. It presents insights obtained through mixing OR methods within a real-world project. The model development process, the role of each modelling method and the benefits of undertaking a mixed OR methods project design are described. Lessons for mixing DES and SD, and more generally mixing OR methods, are discussed.

Suggested Citation

  • Jennifer Sian Morgan & Val Belton & Susan Howick, 2016. "Lessons from mixing OR methods in practice: using DES and SD to explore a radiotherapy treatment planning process," Health Systems, Taylor & Francis Journals, vol. 5(3), pages 166-177, October.
  • Handle: RePEc:taf:thssxx:v:5:y:2016:i:3:p:166-177
    DOI: 10.1057/hs.2016.4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/hs.2016.4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/hs.2016.4?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:thssxx:v:5:y:2016:i:3:p:166-177. 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/thss .

    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.