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A parametric design assistant for concurrent engineering

Published online by Cambridge University Press:  27 February 2009

Daniel Kuokka ,
Stanley Jefferson ,
Lee Barford  and
Felix Frayman
Daniel Kuokka
Affiliation:
Hewlett-Packard Laboratories, 3500 Deer Creek Road, Palo Alto, CA 94304, U.S.A.
Stanley Jefferson
Affiliation:
Hewlett-Packard Laboratories, 3500 Deer Creek Road, Palo Alto, CA 94304, U.S.A.
Lee Barford
Affiliation:
Hewlett-Packard Laboratories, 3500 Deer Creek Road, Palo Alto, CA 94304, U.S.A.
Felix Frayman
Affiliation:
Hewlett-Packard Laboratories, 3500 Deer Creek Road, Palo Alto, CA 94304, U.S.A.
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Abstract

The Explorer parametric design assistant, an interactive tool that provides intelligent support for searching concurrent-engineering trade-spaces under multiple, conflicting objectives, is described. The system provides a convenient means for specifying multiple, cross-disciplinary constraints in terms of tables, formulas, and logical sentences. Based on these data, the system performs interactive constraint checking, computes feasible designs, and provides graphical analysis facilities, allowing users to compare designs based on multiple criteria. As a first application, Explorer has been used as a printed circuit board (PCB) construction design assistant. In initial tests, Explorer has helped users to find design configurations not previously considered that yield comparable performance and cost while offering better manufacturability and reliability. The capabilities and use of the Explorer system are described in detail, the underlying technologies are outlined, and an evaluation of the prototype system is presented.

Keywords

Concurrent EngineeringConstraint SatisfactionHuman Computer InteractionIntelligent AssistantTrade Spaces

Information

Type
Articles
Information
AI EDAM , Volume 9 , Issue 2 , April 1995 , pp. 135 - 144
Copyright
Copyright © Cambridge University Press 1995

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References

REFERENCES

Bouchard, E. (1992). Concepts for a future aircraft design environment. Proc. Aerospace Design Conf. Number AIAA-92–1188. American Institute of Aeronautics and Astronautics, Washington, DC.Google Scholar
Chang, N., Chang, K., Leo, J., Lee, K., & Oh, S. (1992). IPDA: High-speed interconnect performance design assistant. Proc. Hewlett-Packard Design Technology Conference (Company confidential). Hewlett-Packard, Palo Alto, CA.Google Scholar
Cline, T., Frayman, F., Fong, W., & Katz, E. (1990). A tool for design for manufacturability of printed circuit boards. Proc. Hewlett-Packard Design Technology Conference (Company confidential). Hewlett-Packard, Palo Alto, CA.Google Scholar
Frayman, F., & Mittal, S. (1987). Cossack: A constraints-based expert system for configuration tasks. In Knowledge Based Expert Systems in Engineering: Planning and Design (Sriram, D., and Adey, R., Eds.). Computational Mechanics, Inc., Billerica, MA.Google Scholar
Holden, H., Tani, B., Rogers, T., Henderson, P., & Parrish, C. (1989). The DFM Manual, Prototype 4. (Company confidential.) Technical Report. Hewlett-Packard Printed Circuit Division, Palo Alto, CA.Google Scholar
Kolb, M. (1989). Investigation of constraint-based component modeling for knowledge representation in computer aided conceptual design. Technical Report. Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
Kowalski, R. (1979). Logic for Problem Solving. Elsevier, North Holland.Google Scholar
Kuokka, D.R. (1990). The deliberative integration of planning, execution, and learning. Ph.D. Dissertation. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.Google Scholar
Kuokka, D., & Livezey, B. (1994). A collaborative parametric design agent. National Conf. on Artificial Intelligence AAAI Press, Menlo Park, CA, pp. 387–393.Google Scholar
Kuokka, D., Jefferson, S., Frayman, F., Conradson, S., Chang, N., & Bradford, J. (1991). Toward a design information framework: A design optimization assistant. Proc. Hewlett-Packard Design Technology Conference (Company confidential). Hewlett-Packard, Palo Alto, CA.Google Scholar
Mackworth, A. (1992). Constraint satisfaction. In Encyclopedia of Artificial Intelligence (Shapiro, S., Ed.), Vol. 1, John Wiley & Sons, New York, pp. 285–293.Google Scholar
Ullman, J.D. (1982). Principles of Database Systems, 2nd Ed. Computer Science Press, Rockville, MD.Google Scholar