• DocumentCode
    566092
  • Title

    Business information supply chain modeling and simulation methodology

  • Author

    Liu, Vincent Y. ; Zhang, Joe Z. ; Sun, Xinbo ; Huang, Hao

  • Author_Institution
    Macau University of Science and Technology, Macau
  • fYear
    2012
  • fDate
    24-26 June 2012
  • Firstpage
    339
  • Lastpage
    344
  • Abstract
    Business information supply chain management in today´s business climate characterized are with high uncertainty. Globalization of business, outsourcing, shorter transaction cycles, and high end user expectations require effective solutions for business information supply chain. Simulation can be a valuable tool for business information supply chain analysis, planning, optimization, evaluation, and risk management. This paper presents a methodology for modeling both structure and dynamics of complex business information supply chain based on process approach. It also describes the model-driven simulation methodology and the main components of the simulation software solution: model database, process library, knowledge base, and execution engine. Finally, simulation results of the case supply network are presented.
  • Keywords
    Business information supply chain; Discrete event simulation; Expert system; Process modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification & Control (ICMIC), 2012 Proceedings of International Conference on
  • Conference_Location
    Wuhan, Hubei, China
  • Print_ISBN
    978-1-4673-1524-1
  • Type

    conf

  • Filename
    6260274