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Abstract

In this paper, a knowledge-based system KBSES for the selection of production equipment, i.e. machine tools and material handling carriers in an automated manufacturing system, is presented. Existing expert systems which have been applied to the selection of material handling carriers are briefly reviewed. A new model for the selection of production equipment is presented. The knowledge-based system developed has a tandem architecture and closely interacts with a set of models and algorithms. The components of the system are discussed. An illustrative example is included. Directions for further research are also provided.

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References

  1. D. R. Towill, ‘A production engineering approach to robot election’,OMEGA,12 (3), 1984, pp. 261–272.

    Article  Google Scholar 

  2. A. Kusiak, ‘The production equipment requirements problem,’International Journal of Production Research,25 (3), 1987, pp. 319–325.

    MathSciNet  Google Scholar 

  3. S. S. Heragu and A. Kusiak, ‘Analysis of expert systems in manufacturing design,’IEEE Transactions on Systems, Man and Cybernetics,SMC-17, (6) Nov-Dec 1987, pp. 898–912.

    Google Scholar 

  4. J. B. Farber and E. L. Fisher, ‘MATHES: material handling equipment selection expert system,’NCSU-IE Technical Report No. 85-16, Department of Industrial Engineering, North Carolina State University, Raleigh, North Carolina, USA, 1985.

    Google Scholar 

  5. E. L. Fisher and O. Z. Maimon, ‘Integer and rule programming models for the specification and selection of robots’, inArtificial Intelligence: Implications for CIM, A. Kusiak (ed.), IFS Publications, Bedford, Springer-Verlag, New York, 1988.

    Google Scholar 

  6. J. M. McGlennon, G. Cassidy and J. Browne, ‘ROBOSPEC: a prototype expert system for robot selection’, inArtificial Intelligence: Implications for CIM, A. Kusiak (ed.), IFS Publications, Bedford, Springer-Verlag, New York, 1988.

    Google Scholar 

  7. C. J. Malmborg, M. H. Agee, G. R. Simons and J. V. Choudhry, ‘Selection of material handling equipment alternatives for computer integrate manufacturing systems using artificial intelligence’,Industrial Engineering,19 (3), 1987, pp. 58–64.

    Google Scholar 

  8. D. M. Miller and R. P. Davis, ‘The machine requirements problem’,International Journal of Production Research,15 (2), 1977, pp. 219–231.

    Google Scholar 

  9. D. M. Miller and R. P. Davis, ‘A dynamic resource allocation model for the machine requirements problem’,AIIE Transactions,10 (3), 1978, pp. 237–243.

    Google Scholar 

  10. K. G. Murty,Linear and Combinatorial Programming, Wiley, 1983.

  11. A. Kusiak, ‘Knowledge engineering and optimization in automated manufacturing systems’,Proceedings of the Second International Conference on Production Systems, INRIA, Paris, France, 1987, pp. 15–28.

  12. A. Kusiak and S. S. Heragu, ‘Expert systems and optimization’,Working Paper No 06/87, Department of Mechanical and Industrial Engineering, University of Manitoba, Winnipeg, Manitoba, Canada, 1987.

    Google Scholar 

  13. D. T. Pham and P. T. N. Pham, ‘Expert systems: a review’, inExpert Systems in Engineering, D. T. Pham (ed.), IFS Publications, Bedford/Springer-Verlag, Berlin, 1988.

    Google Scholar 

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Kusiak, A., Heragu, S.S. KBSES: A knowledge-based system for equipment selection. Int J Adv Manuf Technol 3, 97–109 (1988). https://doi.org/10.1007/BF02601593

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