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Overview
of Six Sigma DMAIC Phases -- Define, Measure,
Analyze, Improve, Control
Voice of the Customer (QFD)
Project
Selection Criteria and Matrix
Steps
& Basics Tools of DMAIC Phases I and II
Sampling
Checksheets
Basics
of Descriptive Statistics for Six Sigma
Charting Data Over Time
Summary Data Patterns and
Histograms
Measures of Central Tendency
and Dispersion
The Normal Distribution Curve
Point and Interval Estimates
Confidence Intervals
Tests for Normality
Probability Terms, Concepts,
and Applications
Probability Distributions
Typical Six Sigma Performance
Metrics
The Six Sigma Process Steps
Improving Business Processes
with Process Mapping
Examples and Exercises
Steps &
Basic Tools of 6 Sigma DMAIC Phase III
Histograms, Pareto, 5 Why's, Root Cause
Analysis, Fishbone, Scatter Diagram,
Charting Data Over Time, Process Mapping
Statistical Population Tests for Six Sigma
Basic Concepts and Terms
Statistical Risks
One- and Two-Tail Tests
Inference Test Decision Tree
Tests on 2 Means (Z, t)
Tests on 2 Variances
(Chi-squared, F)
Goodness of Fit Test
Tests on Multiple (>3) Means
and Variances
Tests on Proportions
Determining Sample Size
Non-Parametric Tests
Examples and Exercises
Statistical Process Control for Six Sigma
Types of Variation
Central Limit
Rational Subgroups
Control vs. Capability
Characteristics of a Process
Under Control
Variables Control Charts
Attributes Control Charts
Other Types of Control Charts
(IX,MR; Target; Group;
Short-Run; etc.)
Determining Process Capability
Process Capability Indices
Steps & Basic
Tools of 6Sigma DMAIC Phase IV
Decision-Making Matrix, Multi-voting, Force
Field Analysis, Project Status Reports
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Design of
Experiments for Six Sigma
Basic Experimental Design and Analysis
Orthogonal Arrays and
Fractional Factorials
Main Effects and Interactions
Level Averages and Response
Graphs
Intermediate Design and Analysis
Blocking, Replications,
Randomization, Centerpoints,
etc.
Analysis of Variance (ANOVA)
Signal-to-Noise Ratios
Parameter Design and Robustness
Variation Reduction and Centering
of the Mean- Mixture Designs & Response Surface Methods
Application of the Quality Loss
Function
Examples and Exercises
- Six Sigma certification, Black Belt training courses online
- FMEA
for Six Sigma
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