Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

RDCAPP: A real-time dynamic CAPP system for an FMS

  • 70 Accesses

  • 4 Citations

Abstract

Computer-aided process planning (CAPP) systems need to consider the uncertain nature of the shop-floor prior to the identification of job routes and processing sequences. This paper describes the design and development of a prototype, real-time dynamic CAPP (RDCAPP) system for a multimachining-centre flexible manufacturing system (FMS). Concepts relevant to this research include CAPP, profile input using group technology (GT), artificial-intelligence-based expert systems, and FMSs.

RDCAPP considers facility characteristics, machine capacity and the current shop-floor conditions prior to developing a process plan Input to the system is through a GT code and additional auxiliary interactive inputs. RDCAPP uses uncertainty management techniques to keep track of and adapt to changes in shop-floor status. The paper discusses the architecture of RDCAPP in detail. The system was tested rigorously and its outputs validated. Ideas for future research are presented.

This is a preview of subscription content, log in to check access.

References

  1. 1.

    T. C. Chang and R. A. Wysk,An Introduction to Automated Process Planning Systems, Prentice-Hall, Englewood Cliffs, NJ, 1985.

  2. 2.

    L. Alting and H., Zhang, “Computer aided process planning —the state of the art survey”International Journal of Production Research,27(4), pp. 553–585, 1989.

  3. 3.

    B. K. Ghosh and T. Gupta, “A survey of expert systems in manufacturing and process planning”,Computers in Industry,11(2), pp. 195–204, 1988.

  4. 4.

    W. Eversheim and J. Schulz, “Survey of computer aided process planning systems”,Annals of the CIRP,34(2), pp. 607–611, 1985.

  5. 5.

    H. J. Steudel, “Computer aided process planning: past, present and future”,International Journal Of Production Research,22(2), pp. 253–266, 1984.

  6. 6.

    K. Srihari and T. J. Greene, “MACRO-CAPP: a prototype CAPP system for an FMS”,International Journal of Advanced Manufacturing Technology,5(1), pp. 34–51, 1990.

  7. 7.

    K. Srihari and T. Greene, “An evaluation and review of computer aided process planning systems”, Proceedings, World Productivity Forum & 1987 Industrial Engineering Conference, Washington, D.C. pp. 438–444, May 1987.

  8. 8.

    S. R. T. Kumara, S. Joshi, R. L. Kashyap, C. L. Moodie and T. C. Chang, “Expert systems in industrial engineering”,International Journal of Production Research 24(5), pp. 1107–1125, 1986.

  9. 9.

    T. C. Chang and R. A. Wysk, “Integrating CAD and CAM through automated process planning”,International Journal of Production Research,22(5), pp. 877–894, 1984.

  10. 10.

    H. P. Bao, “An expert system for PCB design for assembly”,Manufacturing Review,1(4), pp. 275–280, December 1988.

  11. 11.

    D. W. Rolston,Principles of Artificial Intelligence and Expert Systems Development, McGraw-Hill, New York, 1988.

  12. 12.

    S. R. T. Kumara, R. L. Kashyap and C. L. Moodie, “Application of expert systems and pattern recognition methodologies to facilities layout planning”,International Journal of Production Research,26(5), pp. 905–930, 1988.

  13. 13.

    T. C. Chang and J. Terwilliger, “A rule based system for printed wiring assembly process planning”,International Journal of Production Research,25(10), pp. 1465–1482, 1987.

  14. 14.

    S. S. Heragu, and A. Kusiak, “Machine layout — an optimization and knowledge based approach”,International Journal of Production Research,28(4), pp 615–635, 1990.

  15. 15.

    K. Shankar and Y. J. Tzen, “A loading and dispatching problem in a random flexible manufacturing system”,International Journal of Production Research,23(3), pp. 579–595, 1985.

  16. 16.

    M. Weck and U. Dern, “Integrated manufacturing and assembly”,Annals of the CIRP,34(1), pp. 45–48, 1985.

  17. 17.

    J. Kimemia and S. B. Gershwin, “Flow optimization in flexible manufacturing systems”,International Journal of Production Research,23(1), pp. 81–96, 1985.

  18. 18.

    R. K. Bhatnagar and L. N. Kanal, “Handling uncertain information: a review of numeric and non-numeric methods”, in L. N. Kanal and J. F. Lemmer (eds),Uncertainty In Artificial Intelligence, pp. 3–26, 1986.

  19. 19.

    G. F. Luger and W. A. Stubblefield,Artificial Intelligence and the Design of Expert Systems, Benjamin Cummings, New York, 1989.

Download references

Author information

Correspondence to Dr. K. Srihari.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Masood, A., Srihari, K. RDCAPP: A real-time dynamic CAPP system for an FMS. Int J Adv Manuf Technol 8, 358–370 (1993). https://doi.org/10.1007/BF01751097

Download citation

Keywords

  • CAPP
  • FMS
  • Expert systems
  • Uncertainty management