Abstract
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. This chapter provides details for constructing fractional factorial experiments and highlighting the problems associated with highly fractionated factorial experiments wherein main effects are confounded or aliased with two-order interactions. Extensive graphical tools have been used in real-world examples in the manufacturing industry. All the graphs were generated using the Minitab software system. More real-life industrial case studies involving fractional factorial experiments are illustrated in the next chapter.
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