Control charts

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An overview of using Control Charts in SigmaXL

Established in 1998, SigmaXL Inc. is a leading provider of user friendly Excel Add-ins for Lean Six Sigma graphical and statistical tools and Monte Carlo simulation.

SigmaXL® customers include market leaders like Agilent, Diebold, FedEx, Microsoft, Motorola and Shell. SigmaXL® software is also used by numerous colleges, universities and government agencies.

Our flagship product, SigmaXL®, was designed from the ground up to be a cost-effective, powerful, but easy to use tool that enables users to measure, analyze, improve and control their service, transactional, and manufacturing processes. As an add-in to the already familiar Microsoft Excel, SigmaXL® is ideal for Lean Six Sigma training and application, or use in a college statistics course. 

DiscoverSim™ enables you to quantify your risk through Monte Carlo simulation and minimize your risk with global optimization. Business decisions are often based on assumptions with a single point value estimate or an average, resulting in unexpected outcomes.

DiscoverSim™ allows you to model the uncertainty in your inputs so that you know what to expect in your outputs.

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Control charts

  1. 1. Control Charts SigmaXL® Version 6.1 Summary Report on Test for Special Causes Control Charts: Overview Use Historical Groups to Display Before VS After Improvement Individuals & Moving Range Charts Scroll Through Charts X-Bar & R/S Charts Process Capability Report (Long Term/Short Term) I-MR-R/S Charts (Between/Within) Individuals Charts for Non-normal Data: Johnson Transformation Control Chart Selection Tool Use Historical Limits; Flag Special Causes Add Comments as Data Labels Box-Cox Power Transformation Reliability/Weilbull Analysis Training Opportunities
  2. 2. Control Charts         Individuals Individuals & Moving Range X-bar & R X-bar & S P, NP, C, U P’ and U’ (Laney) to handle overdispersion I-MR-R (Between/Within) I-MR-S (Between/Within) Back to Index
  3. 3. Control Charts  Tests for Special Causes    Control Chart Selection Tool   Special causes are also labeled on the control chart data point. Set defaults to apply any or all of Tests 1-8 Simplifies the selection of appropriate control chart based on data type Process Capability report   Pp, Ppk, Cp, Cpk Available for I, I-MR, X-Bar & R, X-bar & S charts. Back to Index
  4. 4. Control Charts  Add data to existing charts – ideal for operator ease of use!  Scroll through charts with user defined window size Advanced Control Limit options: Subgroup Start and End; Historical Groups (e.g. split control limits to demonstrate before and after improvement)  Back to Index
  5. 5. Control Charts     Exclude data points for control limit calculation Add comment to data point for assignable cause ± 1, 2 Sigma Zone Lines Control Charts for Nonnormal data     Box-Cox and Johnson Transformations 16 Nonnormal distributions supported (see Capability Combination Report for Nonnormal Data) Individuals chart of original data with percentile based control limits Individuals/Moving Range chart for normalized data with optional tests for special causes Back to Index
  6. 6. Control Charts: Individuals & Moving Range Charts Back to Index
  7. 7. oe oe oe oe oe oe oe oe 8 Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn X-Bar - Shot 1 - Shot 3 109.5292156 Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn R - Shot 1 - Shot 3 Control Charts: X-bar & R/S Charts 114.5292156 106.81 104.5292156 99.52921561 100.37 94.52921561 93.92 89.52921561 84.52921561 16 16.21776 14 12 10 6 6.30000 4 2 0 0.00000 Back to Index
  8. 8. oe oe oe oe oe oe oe oe oe oe oe oe 4.00 8.00 Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Individuals - Shot 1 - Shot 3 102.35 Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn MR - Shot 1 - Shot 3 112.35 Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn Da vid Su e Sa lly M Jo hn R - Shot 1 - Shot 3 Control Charts: I-MR-R/S Charts (Between/Within) 117.35 107.35 109.23 97.35 100.37 92.35 91.50 87.35 82.35 10.00 10.89000 8.00 6.00 3.33333 2.00 0.00 0.00000 16.00 16.21776 14.00 12.00 10.00 6.00 6.30000 4.00 2.00 0.00 0.00000 Back to Index
  9. 9. Control Chart Selection Tool   Simplifies the selection of appropriate control chart based on data type Includes Data Types and Definitions help tab. Back to Index
  10. 10. Control Charts: Use Historical Limits; Flag Special Causes 1 109.15 1 106.81 107.15 105.15 103.15 100.37 101.15 99.15 97.15 95.15 93.92 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 93.15 1 X-Bar - Shot 1 - Shot 3 5 Back to Index
  11. 11. Control Charts: Add Comments as Data Labels Back to Index
  12. 12. Control Charts: Summary Report on Tests for Special Causes Back to Index
  13. 13. Control Charts: Use Historical Groups to Display Before Versus After Improvement Individuals - Delivery Time Deviation 31 Before Improvement After Improvement 26 21 16 11 7.00 6 1 Mean CL: 0.10 -4 -6.80 -9 -14 -19 Back to Index
  14. 14. Control Charts: Scroll Through Charts With User Defined Window Size Back to Index
  15. 15. Control Charts: Process Capability Report (Long Term/Short Term) Back to Index
  16. 16. Individuals Chart for Nonnormal Data: Johnson Transformation Back to Index
  17. 17. Individuals/Moving Range Chart for Nonnormal Data: Johnson Transformation Back to Index
  18. 18. Control Charts: Box-Cox Power Transformation Normality Test is automatically applied to transformed data! Back to Index
  19. 19. Reliability/Weibull Analysis  Weibull Analysis    Complete and Right Censored data Least Squares and Maximum Likelihood methods Output includes percentiles with confidence intervals, survival probabilities, and Weibull probability plot. Back to Index
  20. 20. SigmaXL® Training     We now offer On-Site Training in SigmaXL. Course Duration: 4.5 Days. Instructor is John Noguera, SigmaXL co-founder, Six Sigma Master Black Belt, Motorola University Senior Instructor. Hands-on exercises with catapult. Back to Index
  21. 21. SigmaXL® Training Course Contents:  Day 1: Introduction to SigmaXL, Basic Graphical Tools and Descriptive Statistics  Day 2: Measurement Systems Analysis, Process Capability  Day 3: Comparative Methods, Multi-Vari Analysis  Day 4: Correlation, Regression and Introduction to DOE  Day 5: Statistical Process Control Back to Index

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