IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v43y2023i1p1-19.html
   My bibliography  Save this article

Simulation-based optimisation: analysis of the emergency department resources under COVID-19 conditions

Author

Listed:
  • Shahla Jahangiri
  • Milad Abolghasemian
  • Peiman Ghasemi
  • Adel Pourghader Chobar

Abstract

The emergency department (ED) is the most important section in every hospital. The ED behaviour is adequately complex, because the ED has several uncertain parameters such as the waiting time of patients or arrival time of patients. To deal with ED complexities, this paper presents a simulation-based optimisation-based meta-model (S-BO-BM-M) to minimise total waiting time of the arriving patients in an emergency department under COVID-19 conditions. A full-factorial design used meta-modelling approach to identify scenarios of systems to estimate an integer nonlinear programming model for the patient waiting time minimisation under COVID-19 conditions. Findings showed that the S-BO-BM-M obtains the new key resources configuration. Simulation-based optimisation meta-modelling approach in this paper is an invaluable contribution to the ED and medical managers for the redesign and evaluates of current situation ED system to reduce waiting time of patients and improve resource distribution in the ED under COVID-19 conditions to improve efficiency.

Suggested Citation

  • Shahla Jahangiri & Milad Abolghasemian & Peiman Ghasemi & Adel Pourghader Chobar, 2023. "Simulation-based optimisation: analysis of the emergency department resources under COVID-19 conditions," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 43(1), pages 1-19.
    • Handle: RePEc:ids:ijisen:v:43:y:2023:i:1:p:1-19
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=128399
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijisen:v:43:y:2023:i:1:p:1-19. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.