Exam 14: Quality Control
Exam 1: Introduction to Operations Management74 Questions
Exam 2: Competitiveness70 Questions
Exam 3: Forecasting139 Questions
Exam 4: Product and Service Design78 Questions
Exam 4: RELIABILITY – Static12 Questions
Exam 6: Strategic Capacity Planning for Products and Services85 Questions
Exam 7: Decision Theory– Static114 Questions
Exam 8: Process Selection and Facility Layout132 Questions
Exam 9: Work Design and Measurement129 Questions
Exam 10: learning curve– Static61 Questions
Exam 11: Location Planning and Analysis62 Questions
Exam 12: The Transportation Model– Static20 Questions
Exam 13: Management of Quality97 Questions
Exam 14: Quality Control112 Questions
Exam 15: Acceptance Sampling– Static51 Questions
Exam 16: Aggregate Planning and Master Scheduling74 Questions
Exam 17: MRP and ERP81 Questions
Exam 18: Inventory Management128 Questions
Exam 19: JIT and Lean Operations79 Questions
Exam 20: Maintenance– Static36 Questions
Exam 21: Supply Chain Management87 Questions
Exam 22: Scheduling98 Questions
Exam 23: Project Management113 Questions
Exam 24: Management of Waiting Lines64 Questions
Exam 25: Linear Programming93 Questions
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The purpose of statistical process control is to ensure that historical output is random.
(True/False)
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Statistical process control is the measurement of rejects in the final product.
(True/False)
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Consider the following information: Observations 1 2 3 4 5 6 Num. of defects 10 18 13 15 9 12
The number of runs up and down for the preceding data is:
(Multiple Choice)
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Control limits are based on multiples of the process standard deviation.
(True/False)
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A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each: Day Weight (ounces) Monday 23 22 23 24 Tuesday 23 21 19 21 Wednesday 20 19 20 21 Thursday 18 19 20 19 Friday 18 20 22 20
If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha) of concluding this process is out of control when it is actually in control (Type I error)?
(Multiple Choice)
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If a process is performing as it should, it is still possible to obtain observations which are outside of which limits?
(I) tolerances
(II) control limits
(III) process variability
(Multiple Choice)
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A c-chart is used to monitor the number of defects per unit for process output.
(True/False)
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An x-bar control chart can only be valid if the underlying population it measures is a normal distribution.
(True/False)
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A quality analyst wants to construct a control chart for determining whether three machines, all producing the same product, are in control with regard to a particular quality variable. Accordingly, he sampled four units of output from each machine, with the following results: Machine Measurements \#1 17 15 15 17 \#2 16 25 18 25 \#3 23 24 23 22
What is the sample mean for machine #1?
(Multiple Choice)
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A shift in the process mean for a measured characteristic would most likely be detected by a:
(Multiple Choice)
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A process results in a few defects occurring in each unit of output. Long-run, these defects should be monitored with:
(Multiple Choice)
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The chair of the operations management department at Quality University wants to construct a p-chart for determining whether the four faculty teaching the basic P/OM course are in control with regard to the number of students who fail the course. Accordingly, he sampled 100 final grades from last year for each instructor, with the following results: Instructor Number of Failures Prof. A 13 Prof. B 0 Prof. C 11 Prof. D 16
What is the estimate of the standard deviation of the sampling distribution for an instructor's sample proportion of failures?
(Multiple Choice)
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Concluding that a process is out of control when it is not is known as a Type I error.
(True/False)
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Statistical process control focuses on the acceptability of process output.
(True/False)
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Run tests are useful in helping to identify nonrandom variations in a process.
(True/False)
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