Method evidence record
Hybrid design of experiments
Hybrid design of experiments (hybrid DOE) combines two or more experimental design strategies within a single study to exploit the complementary strengths of each. Common combinations include factorial or fractional-factorial arrays paired with computer simulation runs, space-filling Latin hypercube designs merged with response surface augmentations, or Taguchi orthogonal arrays integrated with response surface methodology. The approach is widely used when a single design type cannot efficiently cover all phases of an engineering investigation — from screening through to optimization.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Hybrid Design of Experiments
Taxonomic method recordprocess-pipelineexperimental-design
Santner, T. J., Williams, B. J., & Notz, W. I. (2003). The Design and Analysis of Computer Experiments. Springer. · ISBN 978-1441929921
Open full method2 recorded citations, copied from the method source record.
Curated claims
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Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
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Related methods
Suggested4
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketCentral Composite Design
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketDesign of experiments
machine-suggestedRelational suggestion, not evidence.
- Used in the same domainResponse Surface Methodology
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketSimulation-assisted design of experiments
machine-suggestedRelational suggestion, not evidence.