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A Study of Knowledge-Based Simulation for Enterprise Resources Planning

Author

Listed:
  • Chi Fai Cheung

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

  • Sui Hei Fung

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

  • S. K. Kwok

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

  • Wing Bun Lee

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

  • Burly Tan

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

Abstract

The conventional way of using the Enterprise Resources Planning (ERP) applications is inadequate for the highly dynamic, complex and demanding business environment. The efficient use of the ERP system relies heavily on the know-how, experience and quality of the users. Since the knowledge of operating ERP system is difficult to be acquired, shared and diffused among the users, it takes time and money to train well-experienced users. As a result, this paper presents a framework of Knowledge-based Simulation System for Enterprise Resources Planning named KBSimERP. The KBSimERP provides an integrated learning environment for achieving three perspectives, which includes the knowledge acquisition, knowledge diffusion and performance measurement perspectives respectively. Hence, a prototype of the KBSimERP is built for production planning and control, and the performance of the system is preliminarily evaluated. Satisfactory results are obtained.

Suggested Citation

  • Chi Fai Cheung & Sui Hei Fung & S. K. Kwok & Wing Bun Lee & Burly Tan, 2007. "A Study of Knowledge-Based Simulation for Enterprise Resources Planning," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 241-249.
    • Handle: RePEc:wsi:jikmxx:v:06:y:2007:i:04:n:s0219649207001810
    DOI: 10.1142/S0219649207001810
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    References listed on IDEAS

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