IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v43y2022i1-2p42-64.html
   My bibliography  Save this article

An optimisation and simulation hybrid approach for maternal healthcare facility location-allocation in the Indian context

Author

Listed:
  • Ankit Chouksey
  • Anil Kumar Agrawal
  • Ajinkya N. Tanksale

Abstract

This paper addresses availability and accessibility issues related to maternal healthcare facilities, basic healthcare to neonatal services, prevailing in India. These issues are resolved on economic considerations in establishing and running healthcare facilities and the expenses on travel incurred by mothers-to-be (MTBs) in visiting them. This problem is formulated as a mixed-integer linear programming model for determining optimal number and locations of the healthcare facilities within the specified geographical boundary. The formulation also decides optimal allocation of MTBs to these centres that are available within a reasonable distance. Service demand of MTBs was considered to be deterministic. In reality, the demand, being random, may be high to cause healthcare service quality negatively. Hybrid optimisation and simulation approach shows that the service quality deteriorates with the increase in demand variability or its mean value. This information is useful in deciding additional number of the service facilities to provide satisfactory service quality.

Suggested Citation

  • Ankit Chouksey & Anil Kumar Agrawal & Ajinkya N. Tanksale, 2022. "An optimisation and simulation hybrid approach for maternal healthcare facility location-allocation in the Indian context," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 43(1/2), pages 42-64.
    • Handle: RePEc:ids:ijores:v:43:y:2022:i:1/2:p:42-64
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=121489
    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:ijores:v:43:y:2022:i:1/2:p:42-64. 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=170 .

    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.