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The DMAIC Process and
Basic Problem Solving Tools Voice of the Customer
Lean Manufacturing (Optional)
Basics
of Descriptive Statistics for
6 Sigma
Charting Data Over Time
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Summary Data Patterns and
Histograms
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Measures of Central
Tendency and Dispersion
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The Normal Distribution
Curve
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Point and Interval Estimates
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Confidence Intervals
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Tests for Normality
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Probability Terms, Concepts,
and Applications
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Probability Distributions
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Typical Six Sigma Performance
Metrics
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The Six Sigma Process Steps
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Improving Business Processes
with Process Mapping
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Examples and Exercises
Measurement
Variation Analysis
Statistical
Population Tests for 6 Sigma
Basic Concepts and Terms
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Statistical Risks
One- and Two-Tail Tests
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Inference Test Decision Tree
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Tests on 2 Means (Z, t)
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Tests on 2 Variances
(Chi-squared, F)
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Goodness of Fit Test
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Tests on Multiple (>3) Means
and Variances
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Tests on Proportions
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Determining Sample Size
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Non-Parametric Tests
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Examples and Exercises
Statistical Process Control for Six Sigma
Types of Variation
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Central Limit Theorem
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Rational Subgroups
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Control vs. Capability
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Characteristics of a Process
Under Control
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Variables Control Charts
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Attributes Control Charts
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Other Types of Control Charts
(IX,MR; Target; Group; Short-
Run; etc.)
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Determining Process Capability
& Process Capability Indices
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- Design of
Experiments for 6 Sigma
Basic Experimental Design and Analysis
Orthogonal Arrays and Fractional
Factorials
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Main Effects and Interactions
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Level Averages and Response
Graphs
Intermediate Design and Analysis
Blocking, Replications,
Randomization, Centerpoints, etc.
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Analysis of Variance (ANOVA)
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Signal-to-Noise Ratios
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Parameter Design and Robustness
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Variation Reduction and
Centering of the Mean
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Application of the Quality Loss
Function
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Computer-Based Exercises
FMEA
Design FMEAs
Process FMEAs
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Introduction to Correlation
and Regression Analysis for Six Sigma
Scatter Diagrams
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Least-Squares Estimating
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Creating and Using the
Regression Line
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Standard Error of the Estimate
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Confidence Intervals
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Coefficients of Determination and
Correlation
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Inference Tests Used in
Regression and Correlation
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Model Fitting and Residuals
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Non-Linear and Multi-Variate
Regression Models
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Regression Examples and
Exercises
Introduction
to Reliability Statistics for 6 Sigma (Optional)
Conducting Reliability Data
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Selection of Normal, Log-normal,
Weibull, Exponential Distribution
Best-fit Models
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Hazard Plots
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Survival Plots
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MTBF, MTTF, MTTR, Availability,
Failure Rate
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Censored Data
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Systems Reliability
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Examples and Exercises Other Optional Modules for Six Sigma:
QFD
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Team Building and Team-based Problem Solving |
