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Control Charts for Attributes

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Presentation on theme: "Control Charts for Attributes"— Presentation transcript:

1 Control Charts for Attributes
p chart (fraction of nonconforming items) np chart ( number of nonconforming items) c chart (number of nonconformities in some unit) u chart (number of nonconformities per unit)

2 The p Chart Procedure Step1. Gather the data. Select the size, frequency and number of samples. Step2. Calculate p for each sample. Step 3. Set the scale for the control chart. Step 4. Plot the p values and connect them. Step 5. Calculate p-bar, and the control limits after about 20 points have been charted. Step 6. Interpret the chart

3 Chart Interpretation Shifts. A shift of seven or more points to a higher or lower level could mean that something has affected the proportion defective or that the definition of what is defective has somehow changed. Trends. A run of seven or more points up or down indicates that something is causing the proportion that is defective to change in a gradual manner, poorly trained operators, different inspection criteria, or poorly controlled parts in the assembling process.

4 The np Chart Standard given: UCL = np0 +3np0 (1-p0)
LCL = np0 - 3np0 (1-p0) No standard given: UCL = x + 3  x (1- x/n) LCL = x - 3  x (1- x/n)

5 The c Chart Standard given UCL = c0 + 3 c0 LCL = c0 - 3 c0
No standard given UCL = c + 3c LCL = c - 3c

6 The u Chart (variable unit size)
u = c/k k is the number of inspection units in each sample UCL = u0 + 3 u0/k LCL = u0 - 3 u0/k


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