A study of knowledge-based simulation for enterprise resources planning

Chi Fai Cheung, Sui Hei Fung, S. K. Kwok, Wing Bun Lee, Burly Tan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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.
Original languageEnglish
Pages (from-to)241-249
Number of pages9
JournalJournal of Information and Knowledge Management
Volume6
Issue number4
DOIs
Publication statusPublished - 1 Dec 2007

Keywords

  • Artificial intelligence
  • enterprise resources planning
  • knowledge management
  • multi-perspective
  • simulation

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Library and Information Sciences

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