IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-38391-5_129.html
   My bibliography  Save this book chapter

Recommender System Based “Scenario-Response” Types Post-Disaster Emergency Supplies Planning

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Gang Kou

    (University of Electronic Science and Technology of China)

  • Xin Zhao

    (University of Electronic Science and Technology of China)

  • Daji Ergu

    (University of Electronic Science and Technology of China)

Abstract

In recent years, frequent outbreaks of unexpected natural disasters have caused great threats and losses to people’s property and personal safety. Owe to the reality that natural disaster has the characteristics of wide affecting-areas, long duration, different needs of emergency supplies and inadequate rescue resources, it is strongly important to achieve effective planning for limited emergency supplies. The questions of how to ensure that each disaster-affected area gets emergency supplies matched with its losses and all demands of emergency supplies from different disaster areas met have become critical tasks of natural disaster emergency management. Based on the necessity and urgency of the emergency supplies as well as the real-time data of the scenario evolution of the disaster, this paper proposes an algorithm which combines recommender system and social tagging with allocation management to establish “scenario-response” type’s poster-disaster emergency suppliers planning in order to reach higher performance in post-disaster recovery.

Suggested Citation

  • Gang Kou & Xin Zhao & Daji Ergu, 2013. "Recommender System Based “Scenario-Response” Types Post-Disaster Emergency Supplies Planning," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 1225-1233, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_129
    DOI: 10.1007/978-3-642-38391-5_129
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-642-38391-5_129. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.