2 Days
I.D.#C0231
Design of Experiments is a statistically based, structured approach
to product or process improvement that will quickly yield significant
increases in product quality and subsequent decreases in cost.
Products and processes can be designed to function with less
variation and with less sensitivity to environmental factors or customer
usage. While still maintaining high quality from a customer’s viewpoint,
products and processes can utilize lower cost materials and methods.
Specifications can be opened-up with wider tolerances while still
maintaining high quality for customers. In summary, products and
processes can be designed and developed in shorter times to reduce
costs and become more competitive in the marketplace from a
delivery and profit standpoint.
This seminar covers the fundamentals required in planning,
conducting, and analyzing orthogonal experiments, which are the
major steps in the Design of Experiments (DOE) process. Emphasis is
placed on the DOE process, which, if diligently followed will yield an
effectively completed experiment.
An introduction to parameter design is included. A short video
introduces the experimental approach; the end of the session allows
practice with the new methods in a hands-on workshop.
For more advanced study, attend C0714 ANOVA for Design of
Experiments. It is strongly recommended that any registrant attend
a Basic Design of Experiments course prior to taking the advanced
course.
Learning Objectives
By attending this seminar, you will be able to:
Choose appropriate factors and factor levels to effectively plan DOEs
Define an appropriate set of tests to evaluate the chosen factors and
levels
Utilize appropriate randomization strategies and choose appropriate
sample sizes for conducting tests for DOE
Utilize basic analytical methods to identify influential & non-influential
factors in analyzing and interpreting DOE results
Set specification limits for all factors for effective performance and
low cost
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