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.

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. Control Charts
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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)
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3. Control Charts
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Tests for Special Causes
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Control Chart Selection Tool
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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
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Pp, Ppk, Cp, Cpk
Available for I, I-MR, X-Bar & R, X-bar & S charts.
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4. Control Charts
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Add data to existing charts – ideal for
operator ease of use!
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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)
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5. Control Charts
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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
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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
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6. Control Charts:
Individuals &
Moving Range Charts
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X-Bar - Shot 1 - Shot 3
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R - Shot 1 - Shot 3
Control Charts:
X-bar & R/S Charts
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Individuals - Shot 1 - Shot 3
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MR - Shot 1 - Shot 3
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R - Shot 1 - Shot 3
Control Charts: I-MR-R/S
Charts (Between/Within)
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107.35
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9. Control Chart Selection
Tool
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Simplifies the
selection of
appropriate control
chart based on
data type
Includes Data
Types and
Definitions help
tab.
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10. Control Charts:
Use Historical Limits;
Flag Special Causes
1
109.15
1 106.81
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100.37
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93.92
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X-Bar - Shot 1 - Shot 3
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11. Control Charts:
Add Comments as Data Labels
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12. Control Charts:
Summary Report on
Tests for Special Causes
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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
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14. Control Charts:
Scroll Through Charts With
User Defined Window Size
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15. Control Charts:
Process Capability Report
(Long Term/Short Term)
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16. Individuals Chart for
Nonnormal Data:
Johnson Transformation
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17. Individuals/Moving Range
Chart for Nonnormal Data:
Johnson Transformation
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18. Control Charts:
Box-Cox Power
Transformation
Normality Test is
automatically applied
to transformed data!
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19. Reliability/Weibull
Analysis
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Weibull Analysis
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Complete and Right Censored data
Least Squares and Maximum Likelihood
methods
Output includes percentiles with confidence
intervals, survival probabilities, and Weibull
probability plot.
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20. SigmaXL® Training
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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.
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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
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