Knowledge-based simulation and analysis of supply chain performance

Y. L. Chan, Chi Fai Cheung, Wing Bun Lee, S. K. Kwok

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)


Although various supply chain strategies such as vendor managed inventory (VMI) are used for keeping low inventory and reducing cost in supply chain management, most enterprises lack an integrated simulation system to mimic the behaviour and performance of supply chain partners so as to select the appropriate strategy for implementation. This paper presents a knowledge-based simulation approach for simulating the effect of downstream and upstream operations in supply chain. Based on the simulation result, the performance of supply chain partners can be analysed, evaluated and predicted. With the use of artificial intelligent (AI) techniques, the knowledge-based simulation platform (KBSP) can accumulate the successful experience of the enterprises in formulating and implementing supply chain strategies. The potential benefits of KBSP include the provision of guidance, solution and simulation environment for enterprises to reduce risks for their supply chain operations.
Original languageEnglish
Pages (from-to)14-23
Number of pages10
JournalInternational Journal of Computer Integrated Manufacturing
Issue number1
Publication statusPublished - 1 Jan 2006


  • Dynamic forecasting
  • Knowledge management
  • Performance measurement
  • Supply chain management
  • Vendor managed inventory

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Management Science and Operations Research


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