Abstract
This paper discusses the architecture and implementation issues for a knowledge system to assist in product design. The goals of the concurrent Design Advisor (CODA) are to enhance the quality of designs by 25 percent and the efficiency by a factor of 10. The improvement springs from the integration of diverse knowledge bases, ranging from customer needs to product evaluation, and from process configuration to production control. One source of efficiency is the automation of many routine tasks, thereby increasing user productivity. Another source is the increase in the quality of initial designs, which obviates the need for numerous iterations in the design process due to poor manufacturability. CODA is based on the general architecture of the Creativity Support System, an expert system for assisting users in specific domains requiring creative solutions. The bilevel structure of the system consists of a domain-independent module containing general tools and techniques for creative problem-solving, and a domain-dependent module incorporating knowledge specific to particular fields of application. The utility of this approach is illustrated in the realm of concurrent product design by demonstrating a CODA within the general architecture of the system.
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References
Ambler, A. L. and Burnett, M. M. (1989) Influence of visual technology on the evolution of language environments.Computer,October, 9–22.
Clausing, D. P. and Hauser, J. R. (1988) The house of quality.Harvard Business Review,66, (3), 63–73.
Computer Chronicles (1989) Creativity software.PBS television program transcript #702, Kent. OH: PTV Publications.
Durfee, E. H., Lesser, V. R., Corkill, D. D. (1989) Trends in cooperative distributed problem solving.IEEE Transactions on Knowledge and Data Engineering,1, (1), 63–83.
Kelly, J. E. Jr. (1961) Critical-path planning and scheduling: mathematical basis,Operations Research,9, pp. 296–320.
Khan, M. and Smith, D. G. (1989) Overcoming conceptual barriers — by systematic design, inProceedings of International Conference on Engineering Design, Mechanical Engineering Publications, Ltd, Harrogate, UK, pp. 605–19.
Kim, S. H. (1990a)Essence of Creativity, New York: Oxford University Press.
Kim, S. H. (1990b)Designing Intelligence, New York: Oxford University Press.
Kraemer, K. L. and King, J. L. (1988) Computer-based systems for cooperative work and group decision making:ACM Computing Surveys,20, pp. 115–46.
Lander, S. and Lesser, V. R. (1989) A framework for the integration of cooperative knowledge based systems, inIEEE International Symposium on Intelligent Control. Sanderson, A. C., Desrochers, A. A. and Valavanis, K. (Eds), Albany, New York, pp. 472–7.
Lenat, D. B. (1989) Ontological versus knowledge engineering.IEEE Transactions on Knowledge and Data Engineering,1, (1), 84–8.
Lu, S. C.-Y., Blattner, C. R. and Lindem, T. J. (1986) Knowledge-based expert system for drilling stations design, inProceedings of the Conference on the Application of Artificial Intelligence in Engineering Problems, Southampton, England, Springer Verlag, New York, pp. 423–43.
Liberatore, M. J., and Titus, G. J. (1983) Management science practice in R&D project management.Management Science,29, 962–74.
Malcolm, D. G., Rosenboom, J. H., Clark, C. E. and Fazar, W. (1959) Application of a technique for research and development program evaluation.Operation Research,7, (5), 646–69.
Malone, T. W. (1988) What is coordination theory?Center for Information System Research, Working Paper #182, MIT, USA.
Phadke, M. S. (1989)Quality Engineering using Robust Design. New Jersey: Prentice Hall.
Pugh, S. (1981) Concept selection — A method that works, inProceedings of WDK5 International Conference on Engineering Design, Rome Heurista, Zurich, pp. 497–506.
Sarin, S. and Grief, I. (1985) Computer-based real-time conferencing system.Computer,18, 33–45.
Sathi, A., Morton, T. E. and Roth, S. F. (1986) Calistro: an intelligent project management system.AI Magazine,7, 34–52.
Smith, R. G. and Davis, R. (1988) Frameworks for cooperation in distributed problem solving, in Readings in Distributed Artificial Intelligence, Bond, A. H. and Gasser, L. (Eds), Morgen Kaufman, San Mateo, pp. 61–70.
Silverman, B. G. (1985) The use of analogs in the innovation process: a software engineering protocol analysis.IEEE Transactions on Systems, Man, and Cybernetics,SMC-15 (1), 30–44.
Sullivan, L. P. (1986) Quality function deployment,Quality Progress,19, 39–50
Taguchi, G. (1977, 1978)Jikken Keikakuho, 3rd Edn. Tokyo, Japan: Marzen, Vol. 1 and 2 (in Japanese). English translation: Taguchi, G. (1987)System of Experimental Design, Clausing, D. (Ed.), New York: UNIPUB/Kraus International Publications, Vols 1 and 2.
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Knight, T.P., Kim, S.H. A knowledge system for integrated product design. J Intell Manuf 2, 17–25 (1991). https://doi.org/10.1007/BF01471333
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DOI: https://doi.org/10.1007/BF01471333