IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v41y2022i1-2p29-58.html
   My bibliography  Save this article

A metaheuristic method for solving an emergency problem

Author

Listed:
  • Salma Makboul
  • Ahmed El Hilali Alaoui

Abstract

Disasters often generate a high degree of material and human damage. Generally, human and material resources are limited in hospitals and are ineffective in dealing with such a situation due to the number of important patients. During disasters, the hospital must ensure normal service and in addition receive several victims. Therefore, the medical infrastructure should optimally use its emergency resources. The main objective of this paper is to propose a white plan. To do this, we propose a multi-objective model to optimise the human and material resources in an emergency situation and to operate on patients as soon as possible. Since our problem is multi-objective, the non-dominated genetic algorithm NSGA-II is adapted to solve the large instances. A statistical analysis is performed using some measurements metrics to evaluate and validate the obtained Pareto solutions. The results are analysed and commented on to point out the efficiency of the resolution method.

Suggested Citation

  • Salma Makboul & Ahmed El Hilali Alaoui, 2022. "A metaheuristic method for solving an emergency problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 41(1/2), pages 29-58.
    • Handle: RePEc:ids:ijlsma:v:41:y:2022:i:1/2:p:29-58
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=121009
    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:ijlsma:v:41:y:2022:i:1/2:p:29-58. 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=134 .

    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.