ABSTRACT

This chapter explains how to execute an intermediate design of experiment (DOE) using the experimental helicopter. It helps to understand the power behind the five-factor, second-level, and 16-run half-factorial DOE. From a practical perspective, the author has used this model over 20 times in manufacturing and nonmanufacturing operations. The data analysis will be kept to a minimum with the model results presented using a visual perspective. The chapter discusses an optimum design method that can be done simply in a very fast and efficient method without the use of statistical software. Partial factorial designs allow for a more efficient design in terms of significant findings in relationship to the number of runs. The opportunity for confounding one or more factors with an environmental factor such as the ambient temperature or with a raw material is greater than that with the eight-run experiment.