LEAN SIX SIGMA WORLD CONFERENCE
The Importance of "DOE" When Conducting a DOE
Presenter: Dr. Scott Kowalski, Advisory Technical Training, Minitab, Sanford, FL, USA
Keywords:Design of Experiments, Quality, Blocking
Design of Experiments (DOE) is a powerful tool for understanding products/processes as well as an important component of DFSS. It is used to screen potential variables, explore the region of interest, as well as optimizing key KPIs. There are three principles of experimental design: randomization, replication, and local control. Failure to recognize and incorporate these principles into the design (“DOE” - Don’t Overlook Experimental-Protocol) can lead to difficulty in interpreting the resulting data or far worse, an incorrect solution. This talk will explain the importance of design protocol and provide examples of the potential impact on the analysis. Following the presentation, you will be empowered to implement successful strategies for conducting experimental design: • Recognize and control extraneous sources of variation that can impact the analysis. • Understand the importance of replication for estimating experimental error and identifying outliers.