IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v48y2023i2p246-258.html
   My bibliography  Save this article

A study on optimisation of vehicle allocation for evacuation during a site emergency at a nuclear power plant

Author

Listed:
  • Anirudh Chandra
  • Murali Seshadri
  • Probal Chaudhury

Abstract

Indian nuclear power plants have graded engineered safety features because of which accidents with large scale consequences are highly improbable. However, regulatory requirements state the necessity of a site evacuation following a site emergency or an off-site emergency. Planning for this emergency requires allocation of evacuating vehicles. This study provides a simplified model of evacuation, with focus on minimising the travel time. The vehicle allocation was considered to be an optimisation problem. Mixed integer linear programming (MILP) was used to solve this constrained optimisation problem for a particular nuclear facility site. Different evacuation modes were formulated and the evacuation travel times for each mode were estimated. The most reasonable mode of evacuation was found to be a simultaneous supply of vehicles from vehicle depot to facilities, followed by a sequential evacuation of each facility to the exit. This solution reduces unnecessary congestion at exits and also reduces the travel time.

Suggested Citation

  • Anirudh Chandra & Murali Seshadri & Probal Chaudhury, 2023. "A study on optimisation of vehicle allocation for evacuation during a site emergency at a nuclear power plant," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 48(2), pages 246-258.
    • Handle: RePEc:ids:ijores:v:48:y:2023:i:2:p:246-258
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=134398
    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:48:y:2023:i:2:p:246-258. 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.