Abstract
Simulation experiments in Computer Aided Engineering (CAE) has been developing tecnologies. The application of Design of Experiments (DOE) to simulation experiments, which derives optimum parameters efficiently, is becoming as popular as actual experiments. However, some statistics point out that there are many misuses of the application of DOE in CAE. One of the main reasons is the lack of systematic procedure for it. Specifically, while technical development in the optimization problems is crucially required, the practice of optimization generally depends on experimental or institutional skills of the CAE engineers. Regrettably, the latent optimization problem has not been fully discussed. This paper focuses on it and aims to obtain a structure by reviewing the practical procedures. The final report of this paper is summarized in a table that suggests a direction of effective application of DOE in CAE.
This is a revised version of our earlier paper in the Journal of the JSQC, Vol.34, No. 3, pp. 5–12 (in Japanese).
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Yoshino, M., Nishina, K. (2008). SQC and Digital Engineering. In: Tsubaki, H., Yamada, S., Nishina, K. (eds) The Grammar of Technology Development. Springer, Tokyo. https://doi.org/10.1007/978-4-431-75232-5_10
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DOI: https://doi.org/10.1007/978-4-431-75232-5_10
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