Introduction to Improve Phase
About the Lecture
The lecture Introduction to Improve Phase by Grey Campus is from the course Six Sigma Green Belt Training. It contains the following chapters:
- Key Deliverables
- Overview
- Exercises
- Mistake Proofing
- Quality Planning
Included Quiz Questions
The objective of improve phase is to
- Make changes to the process
- Identify optimum values of X variables
- Verify the improvement
- None of them
In DOE randomization is done to
- Reduce the effect of unknown variables
- Reduce the cost of experimentation
- Reduce time taken for experimentation
- For convenience
DOE is a necessary step in all six sigma projects
- FALSE
- TRUE
The response optimizer helps us to always arrive at the optimum values
- FALSE
- TRUE
- True and false
When you create a factorial experiment, you enter the values of the variables in
- In the Create design dialog box
- the Minitab data sheet
- The session window
- The graph window
What does level mean in a DOE?
- The number of discrete values that a variable can take
- The improvement expected from the experiment
- The number of experiments
- The linkages between the variable and the nth order fraction
How many levels can a variable have in a DOE?
- Any
- 2
- 3
- 4
How many variables can a DOE handle at a time?
- Any
- 2
- 3
- 4
The output from a DOE is
- Coefficients for each variable
- Finding the maximum Y
- Finding the minimum Y
- Finding the minimum cost values for X variables
One of the objectives of DOE is to
- Find out the magnitude of impact of each of the variables on Y
- Verify that the improvement is sustainable
- Verify that random variation has been minimized
- Verify that hypothesis testing has been done correctly
In most business processes, we are forced to choose only two levels because
- It is too time consuming to do more number of experiments
- It is expensive to conduct more number of experiments
- It is possible, to a large extent, to get the information we want from a two level experiment
- None of them
The number of experiments in a half fraction with 3 variables and two levels with replication is
- 8
- 12
- 16
- 4
When you assign a factor level for a numeric variable, if the high value is 16, then the low value cannot be
- 18
- 12
- 15
- 13
When you assign a factor level for a text variable, if the high value is 16, then the low value cannot be
- None of them
- 12
- 15
- 18
A fractional factorial design is used when
- The number of variables is high and they need to be screened to a lower number of variables
- The experiment is highly complex and cannot accommodate all variables
- The experiment tends to give wrong results when we vary too many variables
- Minitab cannot handle so many variables
Author of lecture Introduction to Improve Phase
Grey Campus
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