Post-Process the Screening DOE Study

  1. Click the Linear Effects tab to review the linear effects.
    Observe the main effect of the input variables on both output responses.
    Figure 1.
  2. Click the Pareto Plot tab, then use the Channel selector to select both of the output responses. Observe the results.
    Note: A linear effects plot and a pareto plot with the Linear effects option enabled (shown below) provide the same information. However, with a pareto plot, you can use a statistical measure (that is, the 80-20 rule) to decide which input variables are more significant and which input variables can be neglected.
    Figure 2.
    For this tutorial, you will use the 80/20 rule to eliminate input variables that are not significant to the study. The 80/20 rule is a Pareto principle that proposes 80% of the total effects comes from only 20% of the variables.
    Note: You should also use other practices to eliminate input variables that you feel should be taken in consideration.
    For screening purpose, you can see which input variables contribute to 80% or more of the given output response. In the images below you can see the following:
    • For Max_Acceleration, the input variables length_internal, th_internal_skin, and th_external_skin contribute to 80% of the linear effect.
    • For Max_Displacement, the input variables length_internal and th_internal_skin fall under the 80/20 rule.
    For n responses, you can list out the input variables that follow the 80/20 rule, and take union of the sets. In this case, the input variables that follow the 80/20 rule include: length_internal, th_internal_skin, and th_external_skin. This narrows your list to three significant input variables.
    Figure 3.