• DocumentCode
    1995546
  • Title

    Pre-positioning of Emergency Supplies for Disaster Response

  • Author

    Rawls, Carmen G. ; Turnquist, Mark A.

  • Author_Institution
    Cornell Univ., Ithaca
  • fYear
    2006
  • fDate
    8-10 June 2006
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    We describe a two-stage stochastic optimization model for determining locations of emergency supplies and allocating quantities of those supplies. The model includes uncertainty in what the demands for various types of supplies might be, and the locations where those demands might arise. It also includes uncertainties in the capacity of the transportation network to allow movements of supplies from pre-positioning locations to demands, and the possibility that some of the pre-positioned supplies might be destroyed by the event. The formulation can include multiple supply types, including equipment (e.g., portable electric generators), non- consumable supplies (e.g., tents, blankets, etc.), and consumable supplies (e.g., food, water, medicine, etc.). A case study for the southeastern United States illustrates the use of the model.
  • Keywords
    disasters; emergency services; stochastic programming; disaster response; emergency supplies; nonconsumable supplies; prepositioning locations; stochastic optimization model; transportation network; Accidents; Capacity planning; Costs; Generators; Hazardous materials; Hurricanes; Stochastic processes; Terrorism; Transportation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology and Society, 2006. ISTAS 2006. IEEE International Symposium on
  • Conference_Location
    Queens, NY
  • Print_ISBN
    978-1-4244-0479-7
  • Electronic_ISBN
    978-1-4244-0479-7
  • Type

    conf

  • DOI
    10.1109/ISTAS.2006.4375894
  • Filename
    4375894