Process / pipelineEngineering methods

Optimization-Assisted Full Factorial Design

Optimization-assisted full factorial design is a structured engineering workflow that runs a complete full factorial experiment — covering every combination of factor levels — and then applies a formal optimization method to identify the factor settings that best satisfy one or more performance targets. It combines the exhaustive data coverage of full factorial design with numerical or analytical optimization to turn experimental results into actionable optimal configurations.

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Sources

  1. Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443
  2. Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (4th ed.). Wiley. ISBN: 978-1118916025

Related methods

ScholarGateOptimization-assisted full factorial design (Optimization-Assisted Full Factorial Design). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/optimization-assisted-full-factorial-design