# Operations Chapter 3

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1. Statistical process control
• Takes periodic samples from process
• Plots samples on control chart
• Determine if its within the limits
• Correct process before defects are produced
2. Attribute data
product characteristics that have discrete choice color feel taste
3. Variable data
• Product characteristics that can be measured
• Length, size, weight
4. Control charts
used to monitor the quality of manufacturing process
5. "in control"
• There are no sample points outside control limits
• Most points are near the process center line, without too many close to the control limits
• Approximately equal numbers  of sample points occur above and below the center line
• The points appear to be randomly distributed around the center line
6. P chart
• Calculate percent defectives in a sample
• based on binomial distribution
7. C chart
• count number of defects in an item
• based on poisson distribution
8. Mean chart (X-bar Chart)
Measure the central tendency of a sample
9. Range chart (R chart)
• The difference between the highest and lowest value
• measure the amount of dispersion in a sample
10. Central Limit Theorem
if you graph the means of a series of observations, the data will approach a normal distribution
11. Process Capability
• Can it meet design specifications
• Natural variability in a process
• 3 sigma quality - specifications equal to the process control limits
• 6 sigma quality - specifications are twice as large as the control limits
12. Cp
• Process capability ratio
• Tolerance range / process range
• Cp<1 not capable
• Cp = 1 just capable
• Cp > 1 process is capable
• Cp = 2 six sigma quality
13. Cpk
• Measures if process is off center
• Process capability index
• Cpk = Cp, the process is exactly on center
• Cpk < 0, process is completely outside the design specs

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 Author: Anonymous ID: 308828 Filename: Operations Chapter 3 Updated: 2015-10-01 03:56:12 Tags: Operations Folders: Description: Operations Show Answers:

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