• DocumentCode
    1577880
  • Title

    Application of grey system theory to regional logistics demand prediction

  • Author

    Xiaoqing, Zheng

  • Author_Institution
    Business School, Jilin Vocational College of Industry and Technology, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is very important to predict regional logistics demand. The GM(1,1) model of the logistics demand prediction is set up according to grey system theory. From the tested results calculated by some indexes, such as reliability, association degree, correlative value of posterior error and micro-error probability, the model of grey system theory for logistics demand is examined and certified. The prediction of the freight volume and the freight turnover in Luoyang city illustrates the effectiveness of the model. The prediction can offer a reference for the decision making with regards to the program of logistics industry.
  • Keywords
    demand prediction; grey system theory; index system; regional logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321199