2025 Online DOE Summit: Using Stat-Ease® 360 for simulation and optimization of first-principle and simulation models (metamodeling)
DoE is, as we know, the best strategy for planning and performing experiments for process optimization and product development. After acquiring the empirical data, ANOVA is typically applied for analysis and visualization. Nevertheless, DoE has also a huge potential also as a tool for understanding and optimizing first-principle (physical, mechanistic) models and simulation systems, so-called metamodeling. Some of the objectives of metamodeling are the following:
- Perturb the parameters in the physical/simulation model
- Estimate the sensitivity of the parameters (including interaction and square terms)
- Establish an empirical model between input and output
- Find the optimal settings given constraints
- Predict output while circumventing the physical model
Firstly, the concept of metamodeling will be described, followed by considerations regarding what kind of experimental designs that might be appropriate in various situations. Results from selected cases studies involving metamodeling will be presented.
Talk #3 of the 2025 Online DOE Summit
Tuesday, June 17, 2025 - 14:00 Central European Summer Time