Process / pipelineEngineering methods
Simulation-assisted Taguchi Method — Virtual Robust Parameter Design
The simulation-assisted Taguchi method replaces or supplements physical prototypes with computer simulation models (finite element analysis, computational fluid dynamics, discrete-event simulation, etc.) to execute Taguchi orthogonal-array experiments. Signal-to-noise ratios and effects are computed from virtual runs, enabling rapid, low-cost optimisation of design parameters for robustness against noise factors — all before any physical hardware is built.
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Sources
- Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice Hall. ISBN: 978-0137451678
- Antony, J., & Kaye, M. (2006). Experimental quality: a strategic approach to achieve and improve quality. Springer Science & Business Media. link ↗