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Tricks of the Trade for the Experienced Statistical
Experimenter
Learn the tricks of the trade for design of experiments
(DOE) in this 2-day computer-intensive workshop. In real life your
DOE data may be messy unlike the storybook data cases you normally
find in textbooks and classes. In this course, we'll teach you
how to get the most out of a difficult design. We'll illustrate
the effects that outliers, botched runs and missing data can have
on your analysis. The focus will be on two-level factorials—the
most widely used tool for breakthrough improvements in products
or processes. Real-Life DOE is not offered as a public class.
A Case-Driven Format for a Real Feel
In the Real-Life DOE workshop you will take on the
role of detective to solve tough cases.
Gain hands-on experience with DOE simulations and
case studies. Experiment with:
"Improving extruder operations" (food processing)
"Blow room performance" (textiles)
"The translucent ceramic" (material science)
Apprehend the devious outliers that kill your DOE.
Study:
"A case to test your metal" (aluminum castings)
"Two too many outliers" (tooling)
"The not so obvious problem" (coatings)
Diagnose residuals and salvage your data. Study:
"Pits in pies" (food processing)
"The case of the loose collet" (lathe cutting)
Analyze multilevel factorial designs. Look at:
·"Soda-bottle filling" (beverage)
·D-optimal factorial
designs·Split-plot analysis (paper pulp)
Course Outline
Section 1—Factorial Design
Review of two-level factorials
Improving extruder operations
Review of fractional factorials
Improving blow room performance
Translucent ceramic
Screening
Confirmation
Section 2—Residual Analysis Saves the DOE
Pits in Pies
The case of the loose collet
Outliers and aliases
Section 3—Detecting Outliers
A case to test your metal
Two too many outliers
The not so obvious problem
Section 4—General Factorial
Case study
d-optimal fractions
Section 5—Special Factorial Analysis
Factorial or RSM
Split plots
Two-level factorial
General factorial
Nested design
Latin Squares
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MQIP Quality Management Intelligence Tank
Rm.1314, No.27 Shui Yin 2 nd Heng Rd. GuangZhou , China
p: 020-33689262,37597781, f: 020-37597782 |
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