An introduction to SigmaXL's Process Capability tools.
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. Process Capability SigmaXL® Version 6.1
Process Capability (Normal Data)
Capability Combination Report
Process Capability for Non-normal Data
Automatic Best Fit
Box-Cox Transformation
2. Process Capability
(Normal Data)
Process Capability/Sigma Level Templates
Multiple Histograms and Process Capability
Capability Combination Report for
Individuals/Subgroups:
Histogram
Capability Report (Cp, Cpk, Pp, Ppk, Cpm,
ppm, %)
Normal Probability Plot
Anderson-Darling Normality Test
Control Charts
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4. Process Capability for
Nonnormal Data
Box-Cox Transformation (includes an automatic threshold option
so that data with negative values can be transformed)
Johnson Transformation
Distributions supported:
Half-Normal
Lognormal (2 & 3 parameter)
Exponential (1 & 2 parameter)
Weibull (2 & 3 parameter)
Beta (2 & 4 parameter)
Gamma (2 & 3 parameter)
Logistic
Loglogistic (2 & 3 parameter)
Largest Extreme Value
Smallest Extreme Value
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5. Process Capability for
Nonnormal Data
Automatic Best Fit based on AD p-value
Nonnormal Process Capability Indices:
Z-Score (Cp, Cpk, Pp, Ppk)
Percentile (ISO) Method (Pp, Ppk)
Distribution Fitting Report
All valid distributions and transformations reported
with histograms, curve fit and probability plots
Sorted by AD p-value
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