An approach to enterprise process dynamic modeling supporting enterprise process evolution

  • Authors:
  • Lida Xu;Wenan Tan;Hongyuan Zhen;Weiming Shen

  • Affiliations:
  • College of Economics and Management, Beijing Jiaotong University, Beijing, China 100044 and Department of Information Technology and Decision Science, Old Dominion University, Norfolk, USA 23529;School of Mathematics, Physics & Information Engineering, Zhejiang Normal University, Jinhua, China 321004 and School of Information Science and Technology, Nanjing University of Aeronautics and A ...;School of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China 210016;Integrated Manufacturing Technologies Institute, National Research Council of Canada, London, Canada N6G 4X8

  • Venue:
  • Information Systems Frontiers
  • Year:
  • 2008

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Abstract

This study presents an evolutionary approach to support dynamic enterprise modeling for enterprise process cooperative scheduling and management. In this paper, an evolutionary dynamic enterprise process modeling method was proposed from the concepts of enterprise process evolution to zero-time enterprise modeling and layered complex enterprise modeling. Based on an autonomous agent development platform, an agent-based enterprise collaborative modeling environment has been implemented by integrating several software resource agents that wrap main function modules of EPMS. Scheduling strategies, algorithms, and process-driven cooperative scheduling mechanism are also discussed.