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1. Collect data . number of items inspected ninumber of defective items riOrganize into subgroups. Example: . 2. Calculate fraction defective for each subgroup. 3. Calculate average fraction defective. . LCL is not applicable when <0. 4. Calculate the control limits. For example,.
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1. Control chart for fraction defective Used for: Monitoring
Rejection rate, Absenteeism, etc
2. 1. Collect data number of items inspected ni
number of defective items ri
Organize into subgroups
3. Example:
4. 2. Calculate fraction defective for each subgroup
5. 3. Calculate average fraction defective
6.
LCL is not applicable when <0 4. Calculate the control limits
7. For example,
8. 5. Check if all points within control limits? If YES, continue to use pbar for future data
If NO, eliminate that data point and recalculate control limits
9. 6. Draw the control chart. If LCL<0, let LCL=0
Note that control limits are constant if n is constant.
11. 7. Examine for patterns Any run, trend, or non-random pattern could signal an assignable cause
12. 8. Continue to use for future pbar can be kept constant,
or pbar can be varied to include the next sample
13. Variable sample size problem - alternatives Control Limits based on Average Sample Size
Standardized Control Chart
14. Service applications No of cheques with errors
No of Purchase Orders with mistakes
No of invoices not paid in time
No of workers absent
15. Conclusion: Control chart for fraction defectives can be used to monitor countable data