• DocumentCode
    2822822
  • Title

    Using Information Entropy to Analyze Dynamic Reserves of Emergency Material

  • Author

    Zhou, Lisheng ; Ding, Bin

  • Author_Institution
    Sch. of Manage., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    609
  • Lastpage
    612
  • Abstract
    Emergency material reserves are important ways to provide material basis and security guarantee while solving sudden disasters. Scientific and reasonable reserves of material not only reduce the loss of disaster to the minimum, but also make good use of special funds. The probability and intensity of sudden disasters are uncertain. The requirement scale of emergency materials is consequently difficult to predict. Fortunately, information entropy principle can convert uncertain problems into certain ones. In order to identify the optimal quantity of emergency reserves, we propose a dynamic model for dealing with emergency reserves on the basis of the information entropy generated from deficient and excessive material reserves. Finally, we offer optimal reserves of tents as an empirical research. The analysis of empirical results shows that the model proposed in this paper can be used for research on dynamic reserves of emergency material under the condition that requirement is uncertain.
  • Keywords
    disasters; emergency services; entropy; logistics; optimisation; probability; disaster probability; dynamic emergency material reserves model; emergency logistics; empirical research; information entropy principle; material basis; optimal quantity; optimization problem; probability; security guarantee; special funds; uncertain problem; Cobalt; Disaster management; Information analysis; Information entropy; Joining materials; Logistics; Materials science and technology; Public healthcare; Supply chains; Waste materials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.185
  • Filename
    5194024