LECTURE 8

LECTURE 8 - ENGR 4045U Quality Control Lecture 8 1 Schedule...

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ENGR 4045U Quality Control Lecture 8 1
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Schedule Week 3 Part III: Basic Methods of Statistical Process Control and Capability Analysis. Chapter 5: Methods and Philosophy of Statistical Process Control. Chapter 6: Control Charts for Variables. Week 4 Chapter 7: Control Charts for Attributes. Chapter 8: Process and Measurement System Capability Analysis. Week 5 Midterm-1 2
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Control Charts for Nonconformities (Defects), c chart Constant sample size Where x is number of nonconformities And c > 0 is the parameter of Poisson distribution 3 c c LCL c c UCL x x c e x p x c 3 3 ,... 2 . 1 . 0 ! ) (
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Example Table 7.7 Number of samples 26, contain 516 total nonconformities, estimate c 4 48 . 6 85 . 19 3 85 . 19 3 85 . 19 22 . 33 85 . 19 3 85 . 19 3 85 . 19 26 516 c c LCL c CenterLine c c UCL c
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Example 5
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Example 6
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Example Two points outside the control limits Investigation revealed inspector error and process error, so exclude these two points 7 36 . 6 67 . 19 3 67 . 19 3 97 . 32 67 . 19 3 67 . 19 3 67 . 19 24 472 c c LCL c c UCL c
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Example 8
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Example Figure 7.13 9
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Example 10
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Analysis of Nonconformities Table 7.9 Nonconformities data are more informative than fraction nonconforming, as there are different types of nonconformities 11
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12
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Analysis 13
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Analysis 14
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Cause-Effect Diagram 15
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Choice of Sample Size, u-Chart Sample size is equal to one or “n” inspection unit Sample size “n” might not be integer (e.g. 2.5) Or Setup the control chart based on average number of nonconformities per inspection unit, u If x = total number of nonconformities, in a sample of n inspection units, then Average: u = x / n 16
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U-Chart 17 n u u LCL u CenterLine n u u UCL 3 3
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