IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v34y2021i2p135-157.html
   My bibliography  Save this article

Managing arrival variability in healthcare services: case of an out-patient department

Author

Listed:
  • Piyush Gupta
  • Piyush Pranjal
  • Amit Sachan
  • Punam Prasad

Abstract

Similar to other services, healthcare is also experiencing an evolution of patients into sophisticated customers with high expectations from the service providers. This has led to the application of operations research tools such as discrete event simulation modelling in delivering improved healthcare services. The present study is conducted in an obstetrics and gynaecology out-patient department of a multi-specialty hospital. Process related data is collected from the department and is used to build a discrete event simulation model. Scenarios are developed considering strategies suggested in literature to manage arrival variability, the most crucial form of customer-induced variability. Based on the results obtained, the most optimal solution is highlighted. This study shows that with recent research advancements in simulation modelling, scepticism towards methods adopted from other sectors can be reduced which is beneficial for both, the modern-day healthcare service provider and the patients.

Suggested Citation

  • Piyush Gupta & Piyush Pranjal & Amit Sachan & Punam Prasad, 2021. "Managing arrival variability in healthcare services: case of an out-patient department," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 34(2), pages 135-157.
  • Handle: RePEc:ids:ijpqma:v:34:y:2021:i:2:p:135-157
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=118380
    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:ijpqma:v:34:y:2021:i:2:p:135-157. 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=177 .

    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.