Introduction to Design
of Experiments (DOE)
Introduction to Design of Experiments is an introduction
to various screening, robust design, optimization, and
problem-solving designs of experiments (DOE). Participants
select, plan, and run experiments in class. They then use
a computer-based statistical package to analyze and interpret
the data collected.
Upon completion, the participant will be able to:
- Determine when a full factorial or screening design
- Develop an experimental plan for a given objective.
- Identify the important and unimportant input variables
that are appropriate for the design objective.
- Set input variables' levels based on the experimental
- Select the appropriate resolution based on the
experimental constraints of a screening design.
- Interpret the results of the experiment based on
an adequate model.
- Determine if design's model violates assumptions:
(1) normal distribution of output response; (2) equal variance;
(3) independent output response(s).
Engineers, technicians, and managers who will design, run,
and analyze process characterization and product designs of
No prerequisites to this class
To achieve best-in-class products and processes through
the application of statistical quality measurements and
WORKSHOP DURATION: 3 day
MASET, LLC P. O. Box 11663 Chandler, AZ 85248
Phone: 602-721-3680 Fax 480-802-4710