Capability
General Concepts Part 1
MSA
General Concepts Part 2
100
True or False: If CpK is less than 1, process is considered capable?
False
100
Before you perform the capability study, what test would you need to run first?
Normality Test
100
What does MSA stand for?
Measurement Systems Analysis
100
Name 3 Minitab features
Possible Answers:
Basic Statistics
Measurement Systems Analysis (MSA)
Process Capability Statistical Tolerance Limits (Tolerance Intervals)
Control Charts
Sampling Plan / Sample Size
Statistical Process Control (SPC)
Design of Experiment
Hypothesis Testing and Analysis of Variance
Reliability Predictions
200
How are specification limits different from control limits?
Control limits = calculated from process data and represent how your process is actually performed
Specification limits = defined by your customer and represent desired performance of your process
200
What is the shape of a normal distribution graph?
Symmetrical and unimodel; also called bell-shaped or Gaussian distribution
200
Which GR&R study was presented in today's training?
a. Crossed
b. Nested
c. Linear
d. Expanded
a. Crossed
200
What are the possible types of data?
Variable and Attribute
300
For what value of Ppk would the process NOT be considered capable?
A. 0.05
B. 1.0
C. 1.05
D. 2
A. 0.05
300
What is normal data?
Data that when drawn comes from a population that has a normal distribution
300
Multiple choices: What are the sources of process variation?
a. Part-part variation
b. Gauge-gauge variation
c. Measurement system variation
d. Procedures and software variation
a. Part-part variation
c. Measurement system variation
300
What are some examples of variables and attributes? (List 1 example of each)
Variables:
- Continuous data
Data can be divided
Can have decimal places
Examples
PSI
Inches
Pounds force
Attributes:
Discrete data
Data cannot be divided
Cannot have decimal places
Examples
Pass / Fail
Go / No Go
Yield
Ordinal data
400
What is the difference between Cpk and Ppk?
Cpk is normal distribution whereas Ppk is non-normal distribution
400
Why is the shape of a normal distribution graph also called the gaussian distribution?
Because it was named after its inventor Carl Friedrich Gauss
400
Ture or False: Repeatability is the variation due to the measurement system. It is the variation that is observed when different operators measure the same part many times, using the same gage, under the same conditions.
False: Reproducibility
Reproducibility can be split into two sources:
- Operator: The variability in measurements due to different operators.
- Operator-by-Part: The variability in measurements due to different operator/part combinations after considering part and operator separately.
400
If P-Value is higher than 0.05, would you consider it a normal distribution?
Yes
500
For performing capability studies at non-normal data, how would you determine which distribution to use?
A. Select transformation with P-value less than 0.05
B. Select transformation with the fewest P-value
C. Select transformation with P-value greater than 0.05
D. Select the transformation with the greatest P-value
C & D- Select the transformation with P-value greater than 0.05 or with the greatest P-value.
500
True or False: 68.27% of the population fall between μ ± 2σ
False!
It should be μ ± 1σ
500
What Percent TOL of the Gage is considered acceptable?
a. Less than 15%
b. Less than 20%
c. Less than 25%
d. Less than 30%
b. Less than 20%
500
What is process tolerance?
The amount of variation that a part can have and still meet the customer's requirements. It is the difference between the upper specification and the lower specification.
For example, for an upper specification of 0.36 mm and a lower specification of 0.34 mm, the process tolerance is 0.02 mm.