Understanding Variation and Statistical Process Control: Process Variation and Statistical Process Control (SPC)

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Abstract

Outline

  • Normal and Special Cause Variation.
  • Specification Limits vs Control Limits.
  • Calculations for the Individuals Chart.
  • Nelson Rules to determine out-of-control signals (special cause variation) from process data.
  • Calculations for the X bar & R Chart.
  • Advantages of subgroup data collection.

Cite this work

Researchers should cite this work as follows:

  • NACK Network (2017), "Understanding Variation and Statistical Process Control: Process Variation and Statistical Process Control (SPC)," http://nanohub.org/resources/27735.

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Understanding Variation and Statistical Process Control: Process Variation and Statistical Process Control (SPC)
  • Understanding Variation and Statistical Process Control: Process Variation and Statistical Process Control (SPC) 1. Understanding Variation and St… 0
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  • Outline 2. Outline 27.160493827160494
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  • Corning Process to Manufacture Gorilla Glass 3. Corning Process to Manufacture… 82.082082082082081
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  • Measuring the Compression Layer in Glass 4. Measuring the Compression Laye… 319.31931931931933
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  • Responding to Variation in the Process 5. Responding to Variation in the… 406.57323990657324
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  • Responding to Variation in the Process 6. Responding to Variation in the… 585.45211878545217
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  • Limits to the Process vs Specification Limits 7. Limits to the Process vs Speci… 639.23923923923928
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  • Limits to the Process vs Specification Limits 8. Limits to the Process vs Speci… 792.79279279279285
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  • Histogram of the Glass Strain Data 9. Histogram of the Glass Strain … 829.7630964297631
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  • Histogram Converted to a Control Chart 10. Histogram Converted to a Contr… 960.593927260594
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  • Characteristics of a Control Chart 11. Characteristics of a Control C… 1050.4838171504839
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  • Sources of Variation – Time to Drive to Work 12. Sources of Variation – Time … 1154.421087754421
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  • Sources of Variation – Common or Special? 13. Sources of Variation – Commo… 1386.8535201868535
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  • Identifying Special Cause Variation 14. Identifying Special Cause Vari… 1556.1895228561896
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  • Additional Unusual or Non-random Patterns 15. Additional Unusual or Non-rand… 1647.6810143476812
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  • Additional Unusual or Non-random Patterns 16. Additional Unusual or Non-rand… 1864.964964964965
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  • Determining Patterns from Special Cause Variation 17. Determining Patterns from Spec… 1965.0984317650984
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  • Eight Tests for Special Cause Variation 18. Eight Tests for Special Cause … 2144.4110777444112
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  • Identifying Special Cause Variation with 8 Tests 19. Identifying Special Cause Vari… 2330.4304304304305
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  • Identifying Special Cause Variation with 8 Tests 20. Identifying Special Cause Vari… 2352.9863196529864
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  • Dry Etch Process for Microprocessor Mfg 21. Dry Etch Process for Microproc… 2404.0040040040039
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  • Value of Collecting Subgroup Data 22. Value of Collecting Subgroup D… 2568.9356022689358
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  • X-bar & R Chart of the Process 23. X-bar & R Chart of the Process 2714.9149149149152
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  • Identification of Out-of Control Subgroups 24. Identification of Out-of Contr… 2852.5525525525527
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  • Advantages of the X-bar & R Chart over Individuals 25. Advantages of the X-bar & R Ch… 2891.1911911911911
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  • When to use the I- Chart 26. When to use the I- Chart 3105.7724391057727
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  • The Xbar and S Chart 27. The Xbar and S Chart 3201.901901901902
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  • When to use the S Chart 28. When to use the S Chart 3265.4654654654655
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  • Conclusions 29. Conclusions 3388.4217550884218
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  • References 30. References 3506.3063063063064
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