Business Partner Seminar / "Statistical Optimization and General Informatics to Improve Development Quality and Efficiency" - Nonlinear Experimental Design Methods and Experimental Design Methods Using Artificial Intelligence That Can Be Built with Excel.

The experimental design method allows for the analysis of phenomena involving many components with a limited number of experiments. By using this analytical method, it is possible to find the optimal combinations of components (optimal conditions for each factor) with just a few dozen experiments, even when thousands of experiments would typically be required. However, this analysis assumes that the interaction effects of the components are based on a linear model (a simple model where the effects of components are summed), and in the development of manufacturing, where components are intricately intertwined, the estimation of optimal conditions has often been inaccurate. In this course, we will first explain the principles and issues of experimental design methods. Then, to address the shortcomings of experimental design methods, we will introduce a nonlinear experimental design method that combines deep learning (a type of artificial intelligence using neural network models = super regression) more suitable for manufacturing development. We will provide detailed solutions for beginners considering the introduction of experimental design methods, those who have tried experimental design methods, response surface methods, or quality engineering (Taguchi methods) without success, and those who require multi-objective optimization.

Date and time | Thursday, Jun 15, 2023 10:00 AM ~ 05:00 PM |
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Entry fee | Charge |
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