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

By NACK Network

Center for Nanotechnology Education and Utilization, Pennsylvania State University, State College, PA

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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.

Sponsored by

The Nanotechnology Applications and Career Knowledge (NACK) Network

Funded, in part, by a grant from the National Science Foundation. DUE 1205105

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)," https://nanohub.org/resources/27735.

    BibTex | EndNote

Tags

  1. applications
  2. ATE Centers
  3. calculations
  4. educational
  5. educational resources
  6. methods
  7. NACK Network
  8. nano technology
  9. overview of materials
  10. process capability
  11. Process Variation
  12. statistical process
  13. variation. statistical process control
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
    00:00/00:00
  • Corning Process to Manufacture Gorilla Glass 3. Corning Process to Manufacture… 82.082082082082081
    00:00/00:00
  • 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
    00:00/00:00
  • Additional Unusual or Non-random Patterns 15. Additional Unusual or Non-rand… 1647.6810143476812
    00:00/00:00
  • Additional Unusual or Non-random Patterns 16. Additional Unusual or Non-rand… 1864.964964964965
    00:00/00:00
  • Determining Patterns from Special Cause Variation 17. Determining Patterns from Spec… 1965.0984317650984
    00:00/00:00
  • 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
    00:00/00:00
  • Dry Etch Process for Microprocessor Mfg 21. Dry Etch Process for Microproc… 2404.0040040040039
    00:00/00:00
  • 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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