Black Belt Week 1
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Population average
Population deviation
Sample average
Sample Deviation
Sample size
Reliability definition
Absence of failure
E[X]
Expected value
Binomial
2 possibilities
Poisson
Count distribution
Bernoulli trial, ak
Binomial trial
formula for FPY
e^(-dpu)
Defects Per Unit
Area under 1 sigma
68%
Area under 2 sigma
95%
Area under 3 sigma
97.5%
How to tell if a set of data is normal (3)
1. Run a histogram
2. KS Test P-value
3. >.05=normal
OFAT
One Factor At a Time
Pareto
Separating vital few from the trivial many.
Orthogonal
Test input factors independently (not aliased or confounded)
Reviewing regression output. How to tell if accurate.
F>6, accurate regression
F=regression/error
Full Factorial
All possible combinations
First step of DOE.
Input Process Output diagram
levels (2 or 3) raised to factors
R-Squared goodness of fit (5)
.9=Very Strong
.7-.9=Strong
.5-.7=Normal
.3-.5=Weak
.3=noise
When is >= the same as >
Continuous distribution
Taguchi L12 is a type of
Screening
What does the hat mean?
Predicted value
Set up DOE in Excel (4)
1. DOE Pro
2. Create Design
3. Non-computer aided
4. 2 level __ run full factorial
To aim at target using excel
1. From Regression Table
2.Graphs and optimization
3. Mult Response Optimization
4. Add a constraint (target)
5. Click Optimize
Steps for a DOE
1. Design sheet
2. Create Regression Table
3. Optimization
4. Create confirmation sheet
Card Set Information
Author:
Jared023
ID:
334965
Filename:
Black Belt Week 1
Updated:
2017-10-12 13:04:21
Tags:
black belt
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Description:
Black belt
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