• DocumentCode
    2855514
  • Title

    Finding method of business risk factors by using qualitative and quantitative hybrid simulation

  • Author

    Akiyoshi, Masanori ; Negoro, Keisuke ; Mitsukuni, Koshichiro ; Komoda, Norihisa

  • Author_Institution
    Osaka Univ., Suita, Japan
  • fYear
    2009
  • fDate
    23-26 June 2009
  • Firstpage
    654
  • Lastpage
    657
  • Abstract
    This paper addresses a new approach to find business risk factors based on business scenarios derived from qualitative-quantitative hybrid simulation. To investigate business risk factors under uncertain business environment, cause-effect interpretation of business factors along with time is significant for decision-makers. Business factors are represented either qualitatively or quantitatively. Our proposed simulation model involves such aspects with structural model representation and generates possible scenarios by using Monte Carlo simulation. However, possible scenarios as probability distribution of target factors inherently involve risk scenarios and non-risk scenarios from decision-makers point of views. Identifying risk factors still resorts to decision-makers without computational analysis support on derived outputs. Therefore we propose a finding method of business risk factors on target models.
  • Keywords
    Monte Carlo methods; business process re-engineering; risk management; Monte Carlo simulation; business risk factors; cause-effect interpretation; probability distribution; qualitative-quantitative hybrid simulation; Business communication; Companies; Computational modeling; Decision making; Equations; Hybrid power systems; Probability distribution; Quality management; Risk analysis; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on
  • Conference_Location
    Cardiff, Wales
  • ISSN
    1935-4576
  • Print_ISBN
    978-1-4244-3759-7
  • Electronic_ISBN
    1935-4576
  • Type

    conf

  • DOI
    10.1109/INDIN.2009.5195880
  • Filename
    5195880