IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v72y2021i10p2342-2364.html
   My bibliography  Save this article

Healthcare services: A systematic review of patient-centric logistics issues using simulation

Author

Listed:
  • Sumanta Roy
  • Shanmugam Prasanna Venkatesan
  • Mark Goh

Abstract

Healthcare has material-centric external and patient-centric internal logistics. Researchers widely use simulation approaches to model healthcare internal logistics due to the problem complexity. There is a need to map the existing knowledge base to systematically identify the emerging research themes of this domain. This work presents a systematic literature review to identify the patient-centric logistics issues in healthcare modelled using simulation. In all, 583 papers published from 2008 to 2017 in the Clarivate Analytics Web of Science database have been collected; 238 articles were shortlisted for the review. Using keyword co-occurrence and cluster analysis, thirteen research clusters are identified, with eight of them central to the research domain and deserving further attention. Among the simulation approaches, discrete event simulation is most prevalent followed by hybrid approaches (that use two or more simulation techniques or simulation combined with analytical methods), system dynamics, agent-based simulation, and Monte Carlo simulation.

Suggested Citation

  • Sumanta Roy & Shanmugam Prasanna Venkatesan & Mark Goh, 2021. "Healthcare services: A systematic review of patient-centric logistics issues using simulation," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(10), pages 2342-2364, October.
    • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:10:p:2342-2364
    DOI: 10.1080/01605682.2020.1790306
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2020.1790306
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01605682.2020.1790306?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. Anastasia Efimova, 2022. "A Bibliometric Research Of The Simulation Usage In Logistics," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 22, pages 17-32.

    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:72:y:2021:i:10:p:2342-2364. 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.