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Minimal Design Augmentation Schemes to Resolve Complex Aliasing in Industrial Experiments

Summary: [This abstract is based on the authors' abstract.] For economic reasons, fractional factorial designs are often used for screening purposes in order to reduce the number of runs. However, when the design is fractionated, certain effects are confounded with interactions that are potentially active. Separately estimating the confounded effect is often difficult and the results may be inconclusive. These ambiguities may be resolved with foldover designs. A method based on overlapping designs that separates the confounded effects in fewer runs is demonstrated in a case study in the textile industry.

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  • Topics: Design of Experiments
  • Keywords: Fractional factorial design,Design of experiments (DOE),Case study,Statistical tests,Screening,Textile and needle trades,Taguchi method
  • Author: Kobi, B. Scibilia; Chassagnon, R.; Barreau, A.
  • Journal: Quality Engineering