Quality management and improvement play pivotal roles in ensuring organizational success and customer satisfaction. To delve into this critical aspect, here are the “Top 20 Quality Management and Improvement Questions with Answers.” In this compilation, we address fundamental inquiries related to quality standards, improvement methodologies, and the practical application of quality principles.
Whether you’re a newcomer seeking foundational knowledge or an experienced professional aiming to refine your understanding, these questions cover a spectrum of topics essential for anyone involved in quality management. Explore the concise answers provided to enhance your grasp of quality concepts, ultimately contributing to the delivery of high-caliber products, services, and processes within your organization.
Now, let’s move on to the Top 20 Quality Management And Improvement Questions With Answers.
Q1. A designed experiment of three factors (A, B, C) at two levels was conducted. The eight runs were analyzed, suggesting that one level of factor A showed significant improvement. The plant manager stated that no additional runs were needed. The best response to this statement is:
Select one:
a. The experiment did its job and should be closed
b. Additional replications are needed to verify the experiment
c. An EVOP should be conducted to improve the process further
d. The results of the test should be implemented immediatelyQ2. When selecting and scaling the process input variables for an experiment, which of the following is a desirable approach?
Select one:
a. Combine process measurement responses when possible
b. Be bold, but not foolish, is selecting high and low factor levels
c. Set factor levels at extreme settings
d. Include as many factors as possibleQ3. An interaction effect is the average change in the response variable resulting from changes in the levels of one factor
Select one:
a. True
b. FalseQ4. Which of the following DOE strategies most resembles the kaizen philosophy?
Select one:
a. Evolutionary operation (EVOP)
b. One factor at a time analysis
c. Response surface
d. Mixture designsQ5. When calculating the sample size for a DOE, one is actually determining the:
Select one:
a. Number of blocks
b. Number of replications
c. Number of runs
d. Number of factorsQ6. All of the factors that might be contributing to a production problem must be discovered. Which of the following problem-solving tools would be the best selection?
Select one:
a. Histogram
b. Control chart
c. Fishbone diagram
d. Pareto diagramQ7. When two input factors are aliases with each other, the effects they each have on the response can easily be separated and determined?
Select one:
a. True
b. FalseQ8. Fractional factorial experiments are intentionally designed with fewer runs or treatment combinations but have the same number of inputs; this causes confounding or aliasing?
Select one:
a. True
b. FalseQ9. Why use experiments?
[A] Solve Problems [B] Optimize Performance
[C] Prove a Hypothesis [D] Random TroubleSelect one:
a. BCD
b. CDA
c. ABC
d. ABQ10. In a full factorial DOE with 3 factors and two levels, and one replicate, how many runs will there be?
[A] (3^2) x 2 = 18 runs
[B ] (2 x 3) x 2 = 12 runs
[C] (2^3) x 2 = 16 runsSelect one:
a. A
b. B
c. CQ11. A relational matrix is a problem-solving tool which helps to:
Select one:
a. Show cause-and-effect relationships between input and output variables
b. Generate a large number of improvement ideas
c. Focus attention on problems in priority order
d. Determine where nonconforming parts existQ12. In a full factorial experiment with 4 factors at 3 levels each, how many trials are required?
Select one:
a. 64
b. 24
c. 12
d. 81Q13. As a good experimenter, you have built a predictive model of the experimental data. The differences between the actual response data and the model data are termed:
Select one:
a. Residuals
b. Nested experiments
c. Efficiency of estimators
d. Confounded dataQ14. Which of the following is true in regards to blocking?
Select one:
a. A block is a dummy factor which doesn't interact with real factors
b. Blocks permit full randomization of runs
c. A blocking factor has two levels
d. The experiment is a subdivision of the blockQ15. Residuals are the vertical difference between actual values and the predicted values or the “fitted line” created by the regression model
Select one:
a. True
b. FalseQ16. Because of the large number of variables under study, an engineer is considering a fractional factorial instead of a full factorial to analyze a process. Apart from the possibility of studying a large number of factors with relatively few experiments, what other characteristic will support a decision to use a fractional factorial?
Select one:
a. It is suspected that there are many interactions
b. Blocking is necessary to account for nuisance factors in this study
c. A fractional factorial will determine the main effects curvature
d. The process is well known and only the main factors are of concernQ17. Plackett and Burman experimental designs are called screening designs. A screening design can be defined as:
Select one:
a. A fractional factorial experiment
b. An identification of the key input factors
c. The use of non-geometric experimental designs
d. An experiment with interactions among the main effectsQ18. Assuming no interactions, the main effects analysis of a one-half fractional factorial experiment compared to a comparable full factorial experiment yields which of the following outcomes?
Select one:
a. Both results are approximately the same
b. The one-half factorial gives one-half of the final outcome
c. Both can be calculated but computer software is required
d. Only the full factorial is accurateQ19. True or False, a properly planned and run DOE will create waste and defective products because treatment combinations “test” boundaries
Select one:
a. True
b. CorrectQ20. A treatment is a combination of different factors at different level settings
Select one:
a. True
b. Correct
Answers
- b
- b
- b
- a
- b
- c
- b
- a
- b
- c
- a
- d
- a
- a
- a
- d
- b
- a
- a
- a