Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-23T08:31:58.840Z Has data issue: false hasContentIssue false
  • English
  • Français

Application of design compatibility analysis to simultaneous engineering

Published online by Cambridge University Press:  27 February 2009

Kosuke Ishii ,
Richard Adler  and
Philip Barkan
Kosuke Ishii
Affiliation:
Department of Mechanical Engineering, The Ohio State University, Columbus, OH 4320
Richard Adler
Affiliation:
Design Division, Department of Mechanical Engineering Stanford University, Stanford, CA 94305, U.S.A.
Philip Barkan
Affiliation:
Design Division, Department of Mechanical Engineering Stanford University, Stanford, CA 94305, U.S.A.
Get access Rights & Permissions [Opens in a new window]

Abstract

This paper develops a general framework for knowledge-based computer tools that promote simultaneous engineering in mechanical design. Design compatibility analysis (DCA) serves as the underlying concept for these knowledge-based systems. DCA focuses on the compatibility between the design requirements (specification) and the proposed design, evaluates the design based on the compatibility knowledge of experts, gives justifications for the evaluation, and suggest improvements. DCA accommodates a product's various life-cycle issues (e.g. functionality, manufacturability, reliability) with a unified focus, i.e. compatibility, and thus helps designers to incorporate these issues at the early stages of design (simultaneous engineering). The resulting framework not only serve as the basis for various design expert systems but will also enhance our understanding of the life-cycle design issues. We illustrate the proposed method with two examples: system design of power generation plants and design for assembly (DFA) of mechanical products.

Type
Research Article
Information
AI EDAM , Volume 2 , Issue 1 , February 1988 , pp. 53 - 65
Copyright
Copyright © Cambridge University Press 1988

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adler, R. 1987. Expert system applications to design for assembly. ME217 (Design for Manufacturability) Report. Department of Mechanical Engineering, Stanford University.Google Scholar
Boothroyd, G. and Dewhurst, P. 1983. Design for Assembly: A Designer’s Handbook. Wakerfield, RI: Boothroyd Dewhurst.Google Scholar
Brown, D. C. and Chandrasekaren, B. 1985. Expert systems for a class of mechanical design activity. In Gero, J. (ed.) Knowledge Engineering in Computer-aided Design. Amsterdam: North-Holland.Google Scholar
Brown, H. et al. 1983. Paladio: An exploratory environment for circuit design. IEEE Computer, November, 41–56.Google Scholar
Dixon, J. R. and Simmons, M. K. 1985. Expert system for mechanical design: a program of research. ASME paper No. 85-DET-70.Google Scholar
Genesereth, M. and Nilsson, N. 1986. Logical Foundations of Artificial Intelligence. Los Altos, CA: Morgan Kaufmann.Google Scholar
Ishii, K. and Barkan, P. 1987. Design compatibility analysis—a framework for expert systems in mechanical system design. ASME Computers in Engineering 1, 95–102.Google Scholar
Ishii, K 1987. Knowledge-based design of complex mechanical systems. Ph.D. Thesis, Department of Mechanical Engineering, Stanford University, California.Google Scholar
Ishii, K. and Sugeno, M. 1985. A model of human evaluation process using fuzzy measure. International Journal of Man-Machine Studies 22, 19–28.CrossRefGoogle Scholar
Miles, L. D. (1972). Techniques of Value Analysis and Engineering-New York: McGraw Hill. New York, 2nd Edition.Google Scholar
Mistree, F. and Muster, B. 1985. Design harmonization; a computer-based approach for design in the systems age. In Gero, J. (ed.) Optimization in Computer-aided Design. Amsterdam: North-Holland, pp. 1–30.Google Scholar
Sugeno, M. 1974. Theory of fuzzy integrals and its applications. Doctoral Thesis, Department of Control Engineering, Tokyo Institute of Technology.Google Scholar