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!

Elisabeth Swan

Elisabeth is a Managing Partner & Executive Advisor at GoLeanSixSigma.com. For over 25 years, she's helped leading organizations like Amazon, Charles Schwab and Starwood Hotels & Resorts build problem-solving muscles with Lean Six Sigma to achieve their goals.

Tracy O'Rourke

Tracy is a Managing Partner & Executive Advisor at GoLeanSixSigma.com. For almost 20 years, she's helped leading organizations like Washington State, Cisco and GE build problem-solving muscles with Lean Six Sigma to achieve their goals.