- Our
dynamic instructors will share their expertise in lively
sessions filled with hands-on application that keeps interest
levels high.
- Our
team has taught these approaches to over 10,000 people.
- Thosands
of successful applications have been sparked by attendance
at our sessions.
- Learn
how to simultaneously optimize more than one response.
- Evening
sessions to discuss your processes and technologies in greater
detail may be arranged through the instructor.
- No
previous experience with experimental design or statistics
is required.
- We
care about our students. Past attendees are always welcome
to ask for advice on DOE related questions.
"Launsby's
Experimental Design class is the most useful and best presented
course I've taken in years." - Eric Diebold, Boehringer
Mannheim
The
following is an outline of the various topics covered in this
4 day course:
- Day
1
- Goals,
expectations
- The
need
-group exercise
- What
are the benefits of these techniques?
- Using
experimental design for success
- Fundamental
terminology
- Basic
concepts of setup and analysis
- Experimental
objectives
-Screening
-Troubleshooting
-Robustness
-Modeling
- Examples
of successful applications
- What
is an orthogonal array?
- Benefits
of orthogonal arrays
- What
are the steps in successful experimentation?
- Selection
of technology related responses
- Full-factorial,
fractional factorials, and Plackett-Burman arrays
- Design
Resolution
- Taguchi
tabled arrays
Day
2
- Computer
generated (D-optimal) arrays
- Graphical
analysis
-Main effects plots
-Interaction plots
-Pareto charts
-Contour plots
-RSM plots
- ANOVA
and MLR using software
- Multiple
response co-optimization
-Determination of importance
weights
-Selecting desirability shapes
-Exercises with software
- Analysis
of categorical responses
- Group
exercise: catapult
Day
3
- Additional
background regarding fractional-factorials
-Aliasing and confounding
-Fold-over approaches
- Robustness
concepts and S/N ratios
- Setup
of inner and outer arrays
- Alternatives
to S/N ratios
- Some
details on regression analysis
- Residual
analysis
-Raw vs. studentized
-Interpretation of simple plots
- Group
exercise: electromagnet
Day
4
- Response
surface designs
-Box-Behnken arrays
-Central Composite arrays
- Analysis
of response surface designs
- Group
exercise: trebuchet
- Numerous
case studies
- Discussion
regarding your potential applications
Fees:
$2595 includes the text Straight Talk on Designing Experiments,
Student Version of DOE Wisdom Software, and Participant
Guide. Lunch and coffee breaks are provided each day.
$3295
includes all of the above plus the full version of DOE
Wisdom Software (a $200 discount).
Using
practical, hands-on applications, learn from the experts in
Experimental Design how to successfully blend the best
of Japanese and Western techniques.
Register
Early - class sizes are limited for optimal interaction and
instruction.
Seminar
Leaders
Refund
Policy
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