Developing a knowledge-based injection mould cost estimation system by decision tables

  • Kwai-Sang Chin
  • T. N. Wong
Article

Abstract

This paper presents a knowledge-based costing system (DTMOLD-1) for an electrical appliance manufacturer to assist mould cost estimation at the early design stage. The system is developed in the form of decision tables. Through the use of decision tables, numerous interrelated variables and technical data in the injection mould cost estimation process are organised and presented. When the features of a plastic part are input, the DTMOLD-1 will generate an estimated cost of the injection mould required to produce the part. The rationale behind the system as well as the methodologies used in the developmental process are discussed.

Keywords

Decision table Injection mould Mould cost estimation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    D. E. Ferguson, “An expert system for injection molding”, PhD thesis, University of Minnesota, 1989.Google Scholar
  2. 2.
    H. Qiang, S. Ying and X. Ruan, “Knowledge-based system for problem diagnosis of injection moulding”,Proceedings of the 11th International Conference on Production Research (ICPR), 1991.Google Scholar
  3. 3.
    T. C. Jan and K. T. O'Brien, “Reducing surface defects in the injection molding of thermoplastics using a hybrid expert system”,Proceedings of ANTEC '92, SPE, 1992.Google Scholar
  4. 4.
    E. H. Nielson, J. R. Dixon and M. K. Simmons, “GERES: a knowledge based material selection program for injection molded resins”,Computers in Engineering 1, pp. 255–261, 1986.Google Scholar
  5. 5.
    W. R. Jong and K. K. Wang, “An intelligent system for resin selection”, SPE,Proceedings of ANTEC '89, pp. 367–370, 1989.Google Scholar
  6. 6.
    K. Beitet, S. Krizan and K. Ishii, “HyperQ/plastics: an expert system for plastic material and process selection”,Computers in Engineering ASME,1, pp. 71–76, 1991.Google Scholar
  7. 7.
    S. Ying and X. Ruan, “Application of expert system into injection polymer selection”,Proceedings of the 11th International Conference on Production Research (ICPR), pp. 1855–1858, 1991.Google Scholar
  8. 8.
    M. D. Vaghul, G. E. Zinsmeister and M. K. Simmons, “Expert systems in CAD environment”,Computers in Engineering ASME,2, pp. 77–82, 1985.Google Scholar
  9. 9.
    D. A. Clinquegrana, “Knowledge-based injection mold design automation”, DEng. thesis, University of Lowell, 1990.Google Scholar
  10. 10.
    A. A. Tseng, J. D. Kaplan, O. B. Arinze and T. J. Zhao, “Knowledge-based mold design for injection molding processing”,Proceedings of the 5th IEEE International Symposium on Intelligent Control, pp. 1199–1204, 1990.Google Scholar
  11. 11.
    J. A. Meckley, S. P. McCarthy and C. Cinquegrana, “A knowledge-based computer optimization for three plate and hot runner mold designs”, SPE,Proceedings of ANTEC '92, pp. 2342–2343, 1992.Google Scholar
  12. 12.
    C. Poli and S. Rajagopalan, “Design for injection molding and die casting: a knowledge-based approach”,Computers in Engineering ASME,1 pp. 53–59, 1991.Google Scholar
  13. 13.
    R. Welland,Decision Tables and Computer Programming, Heyden & Son Ltd., Chapters 2 and 3, 1981.Google Scholar
  14. 14.
    M. Montalbano,Decision Tables, Science Research Associates, Inc. 1974; The National Computing Centre Ltd.Decision Tables in Data Processing, London, 1970.Google Scholar
  15. 15.
    C. Poli and J. Givgi, “Product design for economical injection molding — part shape analysis for mold manufacturability”,Proceedings of ANTEC '87, Society of Plastic Engineers, pp. 1148–1152, 1987.Google Scholar
  16. 16.
    C. Poli and J. Escudero, “How part design affects injection-molding tool costs”,Machine Design, pp. 101–104, 24 November 1988.Google Scholar

Copyright information

© Springer-Verlag London Limited 1996

Authors and Affiliations

  • Kwai-Sang Chin
    • 1
  • T. N. Wong
    • 2
  1. 1.Department of Manufacturing EngineeringCity University of Hong KongHong Kong
  2. 2.Department of Industrial and Manufacturing Systems EngineeringUniversity of Hong KongHong Kong

Personalised recommendations