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An approach to enterprise process dynamic modeling supporting enterprise process evolution

Author

Listed:
  • Lida Xu

    (Beijing Jiaotong University
    Old Dominion University)

  • WenAn Tan

    (Zhejiang Normal University
    Nanjing University of Aeronautics and Astronautics)

  • Hongyuan Zhen

    (Nanjing University of Aeronautics and Astronautics)

  • Weiming Shen

    (National Research Council of Canada)

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.

Suggested Citation

  • Lida Xu & WenAn Tan & Hongyuan Zhen & Weiming Shen, 2008. "An approach to enterprise process dynamic modeling supporting enterprise process evolution," Information Systems Frontiers, Springer, vol. 10(5), pages 611-624, November.
    • Handle: RePEc:spr:infosf:v:10:y:2008:i:5:d:10.1007_s10796-008-9114-3
    DOI: 10.1007/s10796-008-9114-3
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    References listed on IDEAS

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    1. Hammer, Michael & Champy, James, 1993. "Reengineering the corporation: A manifesto for business revolution," Business Horizons, Elsevier, vol. 36(5), pages 90-91.
    2. Amjad Umar, 2005. "IT Infrastructure to Enable Next Generation Enterprises," Information Systems Frontiers, Springer, vol. 7(3), pages 217-256, July.
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    Cited by:

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    2. Shaio Yan Huang & Chao-Hsiung Lee & An-An Chiu & David C. Yen, 2015. "How business process reengineering affects information technology investment and employee performance under different performance measurement," Information Systems Frontiers, Springer, vol. 17(5), pages 1133-1144, October.
    3. Siqing Shan & Tenglong Xin & Li Wang & You Li & Ling Li, 2013. "Identifying Influential Factors of Knowledge Sharing in Emergency Events: A Virtual Community Perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 367-382, May.
    4. Shan, Siqing & Wang, Li & Xin, Tenglong & Bi, Zhuming, 2013. "Developing a rapid response production system for aircraft manufacturing," International Journal of Production Economics, Elsevier, vol. 146(1), pages 37-47.
    5. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    6. Xin Wang & Li Wang & Xiaobo Xu & Ping Ji, 2014. "Identifying Employee Turnover Risks Using Modified Quality Function Deployment," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 398-404, May.
    7. Siqing Shan & Cangyan Li & Wei Yao & Jihong Shi & Jie Ren, 2014. "An Empirical Study on Critical Factors Affecting Employee Satisfaction," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 447-460, May.

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