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Full Factorial is a form of Design of Experiments that enables operators to observe the changes occurring in the output (Y Response,) of a process while changing more than one input (X Factors). This test highlights shifts in the average response or output associated with multiple factors.  It also evaluates how factors in a process might interact.

An example would be to test the cycle time (Y) to cook a pizza in different ovens (X1) at different temperatures (X2).

For a better understanding of  DOE – Full Factorial, check out our Black Belt Training & Certification Course!

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