IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v36y2020i1p72-93.html
   My bibliography  Save this article

Optimising emergency medical centres location with a response-time-decreasing approach using hybrid methods of optimisation and simulation

Author

Listed:
  • Ahmad Kamali
  • Seyed Mojtaba Sajadi
  • Fariborz Jolai

Abstract

Decision making about the emergency medical centres location is a complicated problem which managers of healthcare systems are confronted to. In order to respond to requests as fast as possible, the emergency medical centres should be placed in the best condition. There are some cases that affect on emergency medical service operation, like calls distribution, traffic condition and operative costs. The paper combines the optimisation techniques with simulation in locating the emergency medical centres in order to decrease the operative costs and also increase the quality of medical emergency services. The method first locates the centres using optimisation techniques, and then having assigned the ambulances to the centres, it analyses different scenarios of locating the centres and assigning the ambulances to them in a dynamic method using computer simulation. The proposed method of emergency centres location and ambulance-assignments was implemented in Isfahan (Iran) as a case study and resulted in lower response time. The comparison of results with real situations shows the efficiency of this method.

Suggested Citation

  • Ahmad Kamali & Seyed Mojtaba Sajadi & Fariborz Jolai, 2020. "Optimising emergency medical centres location with a response-time-decreasing approach using hybrid methods of optimisation and simulation," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 36(1), pages 72-93.
  • Handle: RePEc:ids:ijsoma:v:36:y:2020:i:1:p:72-93
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=106793
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mina Haghshenas & Arash Nemati & Ebrahim Asadi-Gangraj, 2024. "Using new fuzzy regression aptness and healthcare equity indices in cancer hospitals network design: a fuzzy multi-objective mathematical model," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1472-1506, September.

    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:ijsoma:v:36:y:2020:i:1:p:72-93. 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=150 .

    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.