• DocumentCode
    2139493
  • Title

    Study on Distribution Demand Forecast Based on Grey-Markov Model

  • Author

    Zhao, Gang

  • Author_Institution
    Fac. of Transp. Eng., Huaiyin Inst. of Technol., Huai´´an, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Distribution demand forecast is one of the core of the logistics system planning. In this paper, to forecast distribution demand, a Grey Markov Model is presented by means of combining Grey system theory with dispersed Markov Chains theory. The model overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. Results show that the Model has higher accuracy than that of GM model. Empirical studies of distribution demand forecast was done.
  • Keywords
    Markov processes; forecasting theory; grey systems; random processes; Grey system theory; distribution demand forecast; grey-Markov model; logistics system planning; Accuracy; Biological system modeling; Fitting; Forecasting; Logistics; Markov processes; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5575802
  • Filename
    5575802
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2139493