Integrated knowledge-based Petri net intelligent flexible assembly planning

X. F. Zha, S. Y E Lim, S. C. Fok

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


Automatic assembly planning is recognized as an important tool for reducing manufacturing costs in concurrent product and process development. A novel knowledge-based Petri net (KBPN) is defined, based on the incorporation of expert systems into the usual Petri nets, and used for a unified assembly knowledge representation scheme. A KBPN-approach integrated with a sequence generation algorithm is proposed for the modeling, planning, simulation, analysis and evaluation of the flexible assembly system (FAS). The developed KBPN-based assembly planning system (KAPS) can automatically adjust the deviations between the theoretical planning parameters and the process parameters of real assembly operations to guarantee the best strategies and plans (sequences) for flexible assembly. The research findings are exemplified with a simple assembly to show the effectiveness of the method.

Original languageEnglish
Pages (from-to)235-250
Number of pages16
JournalJournal of Intelligent Manufacturing
Issue number3
Publication statusPublished - Jun 1998
Externally publishedYes

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

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