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

  1. Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice Hall. ISBN: 978-0137451678
  2. Antony, J., & Kaye, M. (2006). Experimental quality: a strategic approach to achieve and improve quality. Springer Science & Business Media. link

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Referenced by

ScholarGateSimulation-assisted Taguchi method (Simulation-assisted Taguchi Robust Parameter Design). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/simulation-assisted-taguchi-method