• DocumentCode
    2009000
  • Title

    An Intelligent Methodology for Business Process Model Verification

  • Author

    Xinhua, Liu ; Weida, Wang ; Wenjian, Liu

  • Author_Institution
    Harbin Inst. of Technol., Harbin
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2381
  • Lastpage
    2385
  • Abstract
    In order to verify the correctness of business process model, A-Net modeling based on activity was studied and a multilevel verification model based on knowledge rules was established. An extended structure of knowledge rule was proposed and a flowchart was presented for the multi-level verification model. Moreover, a modified genetic algorithm was proposed to resolve the resource scheduling conflicts checked by the verification model. The structure and flowchart of the modified genetic algorithm were designed. Finally, an illustrative example was proposed and the verification model was proved feasibility and efficient.
  • Keywords
    Petri nets; business data processing; data mining; flowcharting; formal verification; genetic algorithms; resource allocation; scheduling; A-Net modeling; Petri net; business process model correctness verification; flowchart design; genetic algorithm; intelligent methodology; knowledge rule; manufacturing enterprise; multilevel verification model; resource scheduling conflict; workflow management system; Algorithm design and analysis; Automatic control; Automation; Business process re-engineering; Flowcharts; Genetic algorithms; Job shop scheduling; Manufacturing processes; Mechatronics; Virtual manufacturing; A-Net; knowledge rules; model verification; modified genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0817-7
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376788
  • Filename
    4376788