Abstract
An FFE assists experimenters to study all possible combinations of the levels of the factors or process parameters in the experiment. By performing an FFE, one may be able to study the joint effects of two factors (or interactions) on a response by simultaneously changing the levels of factors. This chapter illustrates the use of full factorial designs in industrial experiments and how to analyse and interpret the results of experiments using simple but powerful graphical tools generated by the Minitab software system. One of the major limitations of full factorial designs is that the size of the experiment is a function of the number of factors to be considered and studied for the experiment. The rule of thumb therefore is to use a full factorial design when the number of factors or process parameters is less than or equal to 4. When the number of factors is more than 4, one may look into fractional factorial designs, which is the focus of the next chapter.
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