• DocumentCode
    3206668
  • Title

    Business scenario design support by qualitative-quantitative hybrid simulation

  • Author

    Samejima, Masaki ; Akiyoshi, Masanori ; Mitsukuni, Koshichiro ; Komoda, Norihisa

  • Author_Institution
    Hitachi, Ltd., Kawasaki
  • fYear
    2007
  • fDate
    23-26 July 2007
  • Firstpage
    401
  • Lastpage
    408
  • Abstract
    We propose a simulation method on qualitative and quantitative hybrid model. In order to evaluate factors of a model with qualitative causal relations, we introduce a statistical approach based on propagation and combination of effects of factors by Monte Carlo simulation. In propagating an effect, we divide a range of a quantitative factor by landmarks and decide an effect to a destination node based on the divided ranges. In combining effects, we decide an effect of each causal relation using effects ratio and sum all effects. Through applied results to practical models, it is confirmed that there are mostly same between results derived from quantitative relations and results derived from the proposed method at 0.05 alpha-level.
  • Keywords
    Monte Carlo methods; cause-effect analysis; corporate modelling; simulation; statistical analysis; Monte Carlo simulation; business scenario design; qualitative causal relation; qualitative-quantitative hybrid simulation; statistical propagation; Companies; Computational modeling; Decision making; Equations; Information science; Monte Carlo methods; Numerical models; Probability; Quality management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, 2007. CEC/EEE 2007. The 9th IEEE International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7695-2913-5
  • Type

    conf

  • DOI
    10.1109/CEC-EEE.2007.24
  • Filename
    4285239