• DocumentCode
    1590939
  • Title

    Extend Workflow Model to Manage the Process Branches in Planning and Scheduling

  • Author

    Zhang, Wanpeng ; Liu, Hongfu ; Chen, Jing

  • Author_Institution
    Inst. of Electromech. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    2
  • fYear
    2010
  • Firstpage
    309
  • Lastpage
    313
  • Abstract
    The integration of planning and scheduling (P&S) and workflow is a significant challenge for knowledge acquisition in planning and scheduling. There has been work on the definition of workflow that allows non-expert entering knowledge on the organization process to be used in planning and scheduling. Since the definition of workflow is usually static and rigid, it is difficult to represent the process branches and constraints. Furthermore, workflow complexity may grow exponentially if all the process branches are compiled into the definition beforehand. In order to represent the branches and reduce the complexity, an extended workflow model is proposed in this paper. This model manages process branches in a dynamic way and represents various constraints, including temporal and logical constrains between activities in different branches. We also propose a graphic modeling tool. It helps users to modeling and acquiring knowledge conveniently.
  • Keywords
    computer graphics; knowledge acquisition; organisational aspects; planning (artificial intelligence); scheduling; workflow management software; extend workflow model; graphic modeling tool; knowledge acquisition; organization process; workflow complexity; Computational modeling; Computer simulation; Conference management; Engineering management; Knowledge management; Process planning; Processor scheduling; Technology management; Technology planning; Workflow management software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4244-5642-0
  • Electronic_ISBN
    978-1-4244-5643-7
  • Type

    conf

  • DOI
    10.1109/ICCMS.2010.116
  • Filename
    5421071