A computational system for process design of injection moulding: Combining blackboard-based expert system and case-based reasoning approach

Chun Kit Kwong, G. F. Smith

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)


The process design of injection moulding involves the selection of the injection moulding machine, mould design, production scheduling, cost estimation, and determination of injection moulding parameters. Expert system approaches have been attempted to derive the process solution for injection moulding in the past few years. However, this approach has been found to be incapable of determining the injection moulding parameters owing to the difficulty in setting the moulding parameters. In addition, the existing expert systems for process design lack the proper architecture for organising a heterogeneous knowledge source. In this paper, the combination of a blackboard-based expert system and case-based reasoning approach is introduced to make up the deficiencies of the existing expert-system approach to the process design, from which a computational system for process design of injection moulding, named CSPD, was developed and described. CSPD first derives the process solution including the selection of injection moulding machine and mould base, tooling cost, and processing cost estimation, and production scheduling based on the blackboard-based expert-system approach. It is then followed by the determination of the injection moulding parameters based on the case-based reasoning approach and the previously derived partial solution.
Original languageEnglish
Pages (from-to)239-246
Number of pages8
JournalInternational Journal of Advanced Manufacturing Technology
Issue number4
Publication statusPublished - 1 Jan 1998


  • Blackboard architecture
  • Case-based reasoning
  • Expert system
  • Process design of injection moulding

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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