Section outline

◄The actual experimental design
►Plackett – Burnam experimental design

  • A factorial experiment in which only an adequately chosen fraction of the treatment combinations required for the complete factorial experiment is selected to be run.

    Even if the number of factors, k, in a design is small, the 2k runs specified for a full factorial can quickly become very large. For example, 26 = 64 runs is for a two-level, full factorial design with six factors. To this design we need to add a good number of centerpoint runs and we can thus quickly run up a very large resource requirement for runs with only a modest number of factors.

    • Fractional factorial design File

      Experimenters utilise fractional factorial designs to study the most important factors or process/design parameters that influence critical quality characteristics. Pilot studies, screening experiments, etc. constitute a few of the many settings in which factional fractional experiments are commonly used.

◄The actual experimental design
►Plackett – Burnam experimental design