• DocumentCode
    515132
  • Title

    Research on the optimal distribution choosing problem of military logistics in disaster rescue based on indefinite information

  • Author

    Hongxing Shi ; Hongyun Du ; Yancheng Gong ; Yumei Qi

  • Author_Institution
    Bengbu Coll. of Automobile Manage., Bengbu, China
  • Volume
    2
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    830
  • Lastpage
    834
  • Abstract
    The emergency disaster event occur suddenly and need support urgently, the time request of the military logistics is urgent. As the transportation system is influenced by uncertain factors, its military logistics system has obvious grey characteristic. This article has built one new grey critical path model using the grey system theory by uniting the standard grey number and the operational rule with the classic critical path-method. Through the research, we see this model can differentiate the heterogeneity critical path and efficiently, increase the precision of confirming critical path, it is benefit to optimize the resources disposition. Through the case study, the paper verified the effectiveness of this model, and enhanced the validity of critical path-method choosing base on indefinite information.
  • Keywords
    critical path analysis; disasters; grey systems; logistics; military systems; transportation; critical path heterogeneity; disaster rescue; grey critical path model; grey number; grey system theory; indefinite information; military logistics system; optimal distribution choosing problem; resource disposition; transportation system; Automobiles; Birds; Disaster management; Earthquakes; Educational institutions; Floods; Humans; Influenza; Logistics; Transportation; Disaster Rescue; Grey System Theory; Military Logistics; Optimal Choice; The First Critical Path; The Second Critical Path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics Systems and Intelligent Management, 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-7331-1
  • Type

    conf

  • DOI
    10.1109/ICLSIM.2010.5461069
  • Filename
    5461069