IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v33y2019i2p256-279.html
   My bibliography  Save this article

A bi-objective model for humanitarian logistics network design in response to post-disaster

Author

Listed:
  • Mahshid Zanganeh
  • Sadoullah Ebrahimnejad
  • Amirhossein Moosavi
  • Hamed Tayebi

Abstract

Disaster management is a broad topic consist various operations to recover victim regions of natural disasters, such as disaster relief (DR) and post-disaster operations. Regarding the considerable importance of sufficient and on time assistance for affected people, this paper investigates the humanitarian logistics network design (HLND) that allocates and distributes the DR resources to affected areas. In this study, a bi-objective mixed integer linear programming (MILP) model has been proposed that maximises lifesaving utility function of wounded people and minimises the consequences of aiding to affected people with delay. Since the required data for decision-making are changing over the time, rolling horizon approach and time-space network have been linked to each other in order to deal with the dynamic essence of this problem. Eventually, we have studied a real case study of Sichuan to evaluate the proposed MILP model. According to the computational results, assignment of DR resources satisfies 57.4%, 43.8%, 57.5% and 14.6% of the demands in Dujiangyan, Wenchuan, Beichuan, and Qingchuan cities only 20 hours after the natural disaster, respectively.

Suggested Citation

  • Mahshid Zanganeh & Sadoullah Ebrahimnejad & Amirhossein Moosavi & Hamed Tayebi, 2019. "A bi-objective model for humanitarian logistics network design in response to post-disaster," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 33(2), pages 256-279.
    • Handle: RePEc:ids:ijlsma:v:33:y:2019:i:2:p:256-279
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=100115
    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:33:y:2019:i:2:p:256-279. 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.