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An approach to enterprise process dynamic modeling supporting enterprise process evolution

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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.

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Acknowledgements

This project was supported by the National Natural Science Foundation of China (Grant No. 69803003), the Zhejiang Provincial Natural Science Foundation of China (Grant No. Y106039), and the Key Research Foundation of Zhejiang Provincial Education Department of China (Grant No. 20060491).

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Authors and Affiliations

  1. College of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China

    Lida Xu

  2. Department of Information Technology and Decision Science, Old Dominion University, Norfolk, VA, 23529, USA

    Lida Xu

  3. School of Mathematics, Physics & Information Engineering, Zhejiang Normal University, Jinhua, 321004, China

    WenAn Tan

  4. School of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    WenAn Tan & Hongyuan Zhen

  5. Integrated Manufacturing Technologies Institute, National Research Council of Canada, London, ON, N6G 4X8, Canada

    Weiming Shen

Authors
  1. Lida Xu
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  2. WenAn Tan
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  3. Hongyuan Zhen
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  4. Weiming Shen
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Correspondence to WenAn Tan.

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Xu, L., Tan, W., Zhen, H. et al. An approach to enterprise process dynamic modeling supporting enterprise process evolution. Inf Syst Front 10, 611–624 (2008). https://doi.org/10.1007/s10796-008-9114-3

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