• DocumentCode
    675045
  • Title

    Grey programming model for emergency systems with multi-resources and constant material consumption

  • Author

    Huang Xuying ; Peng Fang ; Peng Lingling

  • Author_Institution
    Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    459
  • Lastpage
    462
  • Abstract
    Natural-Disaster makes a huge threat to the lives and properties of the people. When large-scale disaster happens, in order to open up the rescue as soon as possible, the scheduling of emergency materials becomes especially important. At the beginning, we have obtained the information which contains grey part from the emergencies. In connection with grey theory, a bilevel optimization grey model is established with “the earliest emergency-start-time” and “fewest retrieval deports” as optimal objective, and the continual consumption of emergency resources as constraint. At the same time, an adaptive algorithm is proposed to choose better retrieval deports which have more material resources, thus avoiding excessive retrieval deports involved. Finally, an example is presented which illustrates that the model is rational and the algorithm is effective.
  • Keywords
    disasters; emergency management; emergency services; grey systems; materials; mathematical programming; scheduling; adaptive algorithm; bi-level optimization grey model; constant material consumption; continual emergency resource consumption; earliest emergency-start-time; emergency material scheduling; emergency systems; fewest retrieval deports; grey programming model; grey theory; large-scale disaster; multiresources; natural disaster; Adaptation models; Earthquakes; Job shop scheduling; Materials; Modeling; Programming; Constant Material Consumption; Emergency Systems; Grey Program; Multi-Objective;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714827
  • Filename
    6714827