CM4D SPC Summary

A summary of the SPC charting and reporting capabilities of the CM4D suite of products is outlined below.

SPC Charting

· Customizable charting with saved design templates.
· Event based styling/reporting enable dynamic styling and triggered drawing.
· Tables detail subgroup values.
· Process data segregation of historical changes or mean shifts.
· Auto layout time efficiency
· Drill-down analysis capable
· Out-of-Control/Specification conditional marking (runs, side-of-mean, etc.)

Charts types:

1. Trend
2. Subgroup Average and Range
3. Subgroup Average and Standard Deviation
4. Individual and Moving Range
5. Moving Average and Moving Range
6. Box and Whisker
7. Six Sigma
8. Six Sigma Projection
9. Histogram
10. Range
11. Pareto
12. Normal Probability Plot
13. Benchmark
14. Target
15. Measurement System Analysis

Reportable Statistics and Statistical Summaries

· Data maintained and reported in many forms (position, XYZ coordinates, diameter, angle, width, etc.)
· Inherent tools select, isolate, organize, mathematically manipulate, and combine data.
· Statistical data isolated for process changes or mean shifts
· Historical change tracking and maintenance of process footprint information

Statistics reportable on various types of data include:

1.  CP, CpK, CR, CpM
2.  PP, PpK, PR
3.  Skewness, kurtosis, variance
4.  Various percents/counts such as sample, total value, invalid, no specification limit, out-of-tolerance, out-of-control, etc.
5.  Specification and control limit ranges adjusted for reporting type (car or vector based)
6.  High value, Low value, Sum, Range, Median
7.  Average, Moving Average, Subgroup Average
8.  Grand Average (on entire set or subset of data)
9.  Average Range, Average Moving Range
10. Standard Deviation (estimated and actual), Average Standard Deviation
11. Six Sigma, Three Sigma
12. Control Limits for control charts: Average and Range, etc.
13. Box plot statistics such as median of highs, median of lows, median, inner-quartile range, box high, box low, outer fence values
14. Normal probability correlation coefficient
15. Normality determination via D'Agostino Pearson Omnibus test or correlation coefficient t (CM4D can attempt to normalize abnormal data via transformations)
16. Measurement system analysis statistics using average and range method and others
17. Range of variation statistics for target, center and spread
18. Deviation direction and average deviation direction
19. True Position
20. Tallies, grades, scores, benchmarks, and conformance summaries (via scoring and grading abilities)
21. User defined statistics via user defined equations