Exam 16: Quality Control and Spc

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In manufacturing, quality control is generally applied at the receiving stage from suppliers, during various production processes, and at the finished goods stage.

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If process quality approaches six sigma levels, then standard types of control charts are not useful.

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Which of the following is most closely related to Statistical Process Control (SPC)?

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As long as no points are outside of the control limits in a control chart, the process would be considered to be in control.

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An An   -chart is always analyzed first because the control limits in the R-chart depend on the mean (   ) of the data. -chart is always analyzed first because the control limits in the R-chart depend on the mean ( An   -chart is always analyzed first because the control limits in the R-chart depend on the mean (   ) of the data. ) of the data.

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To account for the process centering, a two-sided capability index is often used.

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Explain and give the significance of the 1:10:100 Rule.

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When the range of process variation is larger than the design specifications, the process capability index will be less than 1.

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Discuss the difference between a continuous metric and a discrete metric, give examples of each, and list the common control charts associated with each.

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Define and give an example of the three components of any control system.

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Which one of the following statements is true?

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A company that manufactures arrows for sale in archery stores is developing a new arrow with enhanced flight characteristics. From customer surveys the company has determined that the diameter of the arrow should be between 10.0 and 10.6 mm. They want to ensure the process they develop to produce the arrows will meet customer expectations; that is, the process capability index (Cp) will be greater than or equal to 1.00. a.What value of the standard deviation of the process will yield a Cp equal to 1.00? b.If the standard deviation of the process is actually .05, what would the diameter variation (UTL - LTL) of the arrow have to be to get a Cp of 1.00?

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It is not necessary to have a process in control when establishing control limits.

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Collecting continuous data is usually easier than collecting discrete data.

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Larger sample sizes allow smaller changes in process characteristics to be detected with higher probability.

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Special cause variation tends to be easily detectable using statistical methods.

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Statistical calculations will show that if p = .01, then the sample size needed to have at least a 95% chance of finding at least one nonconformance is

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Define "quality at the source."

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Both the p-chart and the c-chart use variable data.

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Regarding special cause variability, all are true except

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