Design can be classified into four basic categories: creative design, innovative design, redesign, and routine design. This paper describes a method for performing routine design by utilizing information content and fuzzy quality function deployment. An attempt has been made to associate with each critical characteristic of a product a value representing the information content, which is a measure of probability that a system can produce the parts as specified by the designer, using a specific manufacturing technology for making the parts. Once the information content of each design alternative is computed, the system will select an alternative with the minimum amount of information content. The proposed method provides us with a means for solving the critical design evaluation and validation problem.
Similar content being viewed by others
References
Bahrami, A. (1992a) Computer aided conceptual design (CACD): a hybrid model for needs-to-functions-to-structures association by utilizing the fuzzy associative memory and fuzzy information content, PhD Thesis, University of Missouri-Rolla, Department of Engineering Management.
Bahrami, A. (1992b) Computer assisted conceptual design by utilizing fuzzy logic and quality function deployment. Journal of Design and Manufacturing, 2, 155–165.
Bahrami, A. (1992c) Measuring the reliability of design based on information content in a concurrent engineering environment, in Robotics and Manufacturing, Jamshidi, M., Lumia, R., Mullins, J. and Shahinpoor, M. (eds), ASME Press, New York, Vol. 4., pp. 883–888.
Clausing, D. P. and Hauser, J. R. (1988) The house of quality. Harvard Business Review, 66(3), 63–73.
Duvvuru, S., Stephanopouls, G., Logcher, R., Gossard, D., Groleau, N., Serrano, D. and Navinchandra, D. (1989) Knowledge-based system applications in engineering design: research at MIT. AI Magazine, 10(3), 79–96.
Kosko, B. (1992) Neural Networks and Fuzzy Systems, A Dynamical Systems Approach to Machine Intelligence, Prentice Hall, Englewood Cliffs, NJ.
Nakazawa, H. (1987) Information Integration Method, Corona, Tokyo.
Nakazawa, H. and Suh, N. P. (1987) Process planning based on information concept. Robotics and Computer-Integrated Manufacturing, 1(1), 115–123.
Suh, N. P. (1990) The Principles of Design, Oxford University Press, New York, Oxford.
Wilson, D. R. (1980) An exploratory study of complexity in axiomatic design, Ph.D. Thesis, MIT.
Zadeh, A. L. (1965) Fuzzy sets. Information and Control, 8, 338–353.
Zadeh, A. L. (1975) The concept of a linguistic variable and its application to approximate reasoning - III. Information Sciences, 8, 43–80.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Bahrami, A. Routine design with information content and fuzzy quality function deployment. J Intell Manuf 5, 203–210 (1994). https://doi.org/10.1007/BF00123693
Issue Date:
DOI: https://doi.org/10.1007/BF00123693