QOM 2017 - Six Sigma - Test 2016A Flashcards
What is a good strategy when a Six Sigma team finds out
that they cannot change the incoming variation?
A. Monitor y in the absence of noise factors
B. Improve robustness of the process
C. Eliminate the root cause
D. Change specification limits of the incoming material
B. Improve robustness of the process
In data measurement we need precision and accuracy.
What are they?
A. Precision and accuracy express the same thing
B. Precision means high bias, accuracy means high
repeatability
C. Precision means that data are close each other,
accuracy means that data are close to to target (true
value)
D. Precision mean low bias, accuracy means high
repeatability
C. Precision means that data are close each other,
accuracy means that data are close to to target (true
value)
In the Define phase we should primarily A. map the processes B. prioritize the sources of variation C. estimate the performance variation D. understand if the selected improvement measure reflects customer requirements
D. understand if the selected improvement measure
reflects customer requirements
What is NOT correct for effective scoping procedure?
A. Changing thinking from push to pull, that is, focusing on
customer requirements
B. Helping teams to describe the problem and searching
for root
causes and avoiding them jumping into conclusions
C. Identifying the important inputs and outputs of each
process step
D. Identifying what measure to improve
C. Identifying the important inputs and outputs of each
process step
Instead of using three-sigma limits, John uses six-sigma
limits for his x-bar chart. In other words, the upper and
lower control limits are computed by adding and
subtracting the process mean with six times standard
deviation of x-bar. Which of the following consequence is
expected from using six-sigma limits?
A. The process will have 3.4 ppm, that is, on average 3.4
defective parts per one million units produced
B. The false alarm rate will be very high, that is, the chart
will produce a lot of false alarm signals
C. The control chart will be very insensitive to detect
changes in the process
D. The Cp and Cpk will be higher than 1
C. The control chart will be very insensitive to detect
changes in the process
In the flow of qualitative tools, what is the role of Cause
and Effect matrix?
A. To relate process x’s with the customer requirement y
B. To understand how x can go wrong
C. To classify x-factors as controllable (C), noise (N) or
standard operation procedure (SOP)
D. All of above
A. To relate process x’s with the customer requirement y
Comparing two popular tools AIM analysis and Fishbone
analysis what is correct:
A. Fishbone (Ishikawa) is less commonly used than AIM in
Analysis phase to organize potential causes to a
problem
B. Fishbone can replace AIM in Define phase to visualize
ideas and relation between problems
C. AIM influences language and mind-sets in a lesser
extent than Fishbone does
D. None of the above
D. None of the above
Which of the following is NOT the purpose of using design
of experiment (DoE)?
A. To change process performance
B. To understand cause and effect relationship between y
and x-es
C. To estimate the effect of each factor independently of
the others
D. To effectively scoping the problem
D. To effectively scoping the problem
Which one is the main purpose of using replication in design of experiment? A. To quantify noise in the experiment B. To reduce the cost of the experiment C. To remove noise D. All of the above
A. To quantify noise in the experiment
In the context of a 2K factorial design, if there is an active
interaction between factor A and factor B, it means that
A. Factor A is dependent on factor B
B. Factor B is dependent on factor A
C. Factor A is dependent on factor B and vice versa
D. None of the above
D. None of the above
Which of the following is correct with respect to the use of
normal probability plot (NPP) in full factorial design?
A. NPP is useful for estimating effects’ variance in full
factorial design with replications
B. NPP is useful for estimating effects’ mean in full
factorial design with replications
C. NPP is useful for estimating effects’ variance in full
factorial design without replications
D. NPP is useful for estimating effects’ mean in full
factorial design without replications
C. NPP is useful for estimating effects’ variance in full
factorial design without replications