• DocumentCode
    3258185
  • Title

    Online rescue vehicle scheduling problem of emergency logistics

  • Author

    Mingang Zeng ; Gaohui Yu

  • Author_Institution
    Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    322
  • Lastpage
    325
  • Abstract
    Emergency logistics of natural disaster plays an important role in effectively controlling the casualties and reducing various disaster losses. The paper proposes k-rescue vehicles scheduling problem and considers this problem with two-stage algorithm based on online method. First stage, the paper proposes online rescue vehicle allocation strategies which include the reposition strategy, the lie over strategy and the mix strategy, and then analyzes their competitive ratio. Second stage, this paper designs selection strategies of online path which include the reposition strategy and the greedy strategy, and then analyzes their competitive ratio. Finally, based on the analysis and calculation of an example, the results indicate that the above models and methods are effective.
  • Keywords
    emergency services; logistics; scheduling; transportation; emergency logistics; greedy strategy; lie over strategy; mix strategy; online rescue vehicle allocation strategy; reposition strategy; rescue vehicle scheduling problem; strategy competitive ratio; Educational institutions; Logistics; Optimized production technology; Resource management; Roads; Vehicles; Competitive Ratio; Emergency Logistics; Online Problem; Vehicle Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9665-5
  • Type

    conf

  • DOI
    10.1109/ICEMMS.2011.6015686
  • Filename
    6015686