Statistical Process Control for SMT Electronic Manufacturing
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Statistical Process Control (SPC) is a statistical method to control and monitor the quality of a production line. In this presentation we cover the detailed development of a SPC program, from selecting the appropriate metrics for a manufacturing process to collecting data to analysing the data. Examples are used to show the power of SPC in diagnosing quality problems with SMT manufacturing lines. The early detection of problems is critical to the success of any manufacturing line.
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Statistical Process Control for SMT Electronic Manufacturing
- 2. www.creativeelectron.com Statistical Process Control Manufacturing process quality assurance. Solder joint measurement data,collected during x-ray test, can be statistically analyzed to identify manufacturing drifts,trends and other relevant process quality issues.
- 4. www.creativeelectron.com Is your process in control & capable?
- 5. www.creativeelectron.com Statistical Analysis of Manufacturing Process X-Ray Images Statistical Data
- 6. www.creativeelectron.com Statistical Data from BGA Inspection Void [%]Frequencyofoccurrence 20% Histogram
- 7. www.creativeelectron.com Statistical Data from BGA Inspection Void [%]Frequencyofoccurrence 10% Histogram
- 8. www.creativeelectron.com Statistical Data from BGA Inspection Void [%]Frequencyofoccurrence 20% Histogram
- 9. www.creativeelectron.com Statistical Data from BGA Inspection Void [%] Frequencyofoccurrence Histogram Void [%] Frequencyofoccurrence
- 10. www.creativeelectron.com Statistical Data from other X-Ray Inspections OPENS SHORTS VOIDS
- 11. www.creativeelectron.com Statistical Parameters of Interest Mean, Average, Expected Value (µ): central value of a discrete set of numbers: specifically, the sum of the values divided by the number of values. Variance (σ2): measures how far a set of numbers is spread out.
- 12. www.creativeelectron.com Parameters of Interest: Mean and VarianceFrequencyofoccurrence µ σ2 Mean (µ): Average of process performance Variance (σ2): How consistent process performance is
- 13. www.creativeelectron.com How can we use statistical analysis to manage my manufacturing process? Example 1: QFN Opens and Shorts DAY 1 DAY 3 DAY 5
- 14. www.creativeelectron.com Another Example: LED voiding, day 1 8AM 1PM 8PM
- 15. www.creativeelectron.com Another Example: LED voiding, day 2 8AM 1PM 8PM
- 16. www.creativeelectron.com You can’t manage what you don’t measure Metrics are critical to manage a manufacturing process Depending on the process, metrics can be pad voiding, underfill voiding, shorts, opens, or all of these Need to collect data and analyze it over time to properly manage process Spot checks are inadequate to verify longer term deviations Mean and variance of key statistical parameters can tell you a lot about the performance of your business
- 17. www.creativeelectron.com Key takeaways X-ray inspection systems are safe and easy instruments to use everyday Must be closely integrated to all aspects of manufacturing Process design Process validation Process quality control X-ray in the loop assures superior quality design and control
- 18. www.creativeelectron.com For more information Contact us: www.creativeelectron.com Chat with us live at our website Email us at info@creativeelectron.com Call us at 760.752.1192 Learn more at X-Ray University http://creativeelectron.com/x-ray-university/
- 19. www.creativeelectron.com Thanks for your time!