Design of experiments (DOE) structurally assesses the relationship of factors affecting a response. DOE can find cause-and-effect factor relationships impacting a process output.
Two-level DOE experimentation sets each factor input as a + or – value; e.g., temperature factor: high-temp=+1, low-temp=-1; operator factor: operator1=+1, operator2=-1.
Two-level DOE designs are efficient in assessing (in a minimal number of trials) the interaction of factors relative to impacting a response; e.g., high-temperature in conjunction with low-humidity yields an undesirable response. The resolution of a DOE describes how well two-factor interactions are aliased with other two-factor interactions and main effects. In a two-factor DOE, 15 two-level factors can be evaluated in only 16 trials; however, two-factor interactions are confounded with main effects – a resolution III experiment.
The DOE explanation in Integrated Enterprise Excellence Volume III provides the details for conducting effective DOEs, including how to assess interactions, even with 15 factors in 16 trials.
Design of Experiments (DOE) can be used within a Design for Six Sigma (DFSS) Define-Measure-Analyze-Design-Verify (DMADV) roadmap in both the Design (for optimization) and Verify (for design testing) phases. In…