• DocumentCode
    537204
  • Title

    Research on the Demand Forecast of Emergency Material Based on Fuzzy Markov Chain

  • Author

    GUO, Zixue ; QI, Meiran

  • Author_Institution
    Sch. of Manage., Hebei Univ., Baoding, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Demand forecast of emergency material is the precondition and foundation of planning emergency material storage strategy. Because of the emergency logistics have the characteristic as follows: sudden, uncertainty, non-conventional, the weak economy, complexity and so on, On the basis of defining the fuzzy condition and fuzzy transfer probability, the paper divides the emergency material demand into five fuzzy conditions: very small demand, small demand, general demand, high demand and very high demand, and proposes a forecast model of emergency material requirement based on fuzzy Markov chain. Finally, the availability of the proposed method was verified by analyzing the numerical example.
  • Keywords
    Markov processes; demand forecasting; fuzzy set theory; logistics; probability; storage; demand forecast; emergency logistics; emergency material storage strategy; fuzzy Markov chain; fuzzy condition; fuzzy transfer probability; Biological system modeling; Economics; Educational institutions; Forecasting; Logistics; Markov processes; Materials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5661145
  • Filename
    5661145