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Six Sigma Black Belt
Six Sigma Introduction
Definition of Six Sigma & It's Relation to Costs and Efficiencies
Popularity and Application of Six Sigma
Comparisons Between Typical TQM and Six Sigma Programs
How To Deploy Six Sigma
Leadership Responsibilities
Resource Allocation
Data-driven Decision Making
Organizational Metrics & Dashboards
Six Sigma Projects
Project Focus
Project Selection
Estimating Project Benefits
Overview of DMAIC Methodology
Project Reporting
Define Stage Tools & Objectives
Define Stage Objectives
Project Charter: Use and Development
DEFINE: Metrics & Deliverables
Critical to Quality (CTQ) Metrics
Critical to Schedule (CTS) Metrics
Relation of CTQ & CTS Metrics to Critical Cost (CTC) Metrics
DEFINE: Project Financials
Cost of Poor Quality
Quantifying Project Benefits
CTC Calculations
DEFINE: Project Scheduling
Scheduling Project Activities & Events
DEFINE: Change Management/Teams
Problems with Change
Achieving Buy-In
Team Formation, Rules & Responsiblities
Consensus Building
Measure Stage Tools & Objectives
Measure Stage Objectives
Process Definition
Metric Definition
Establishing Process Baseline
Control Chart as a Process Baseline Tool
MEASURE: Probability & Distributions
Probability Rules
Distribution Use & Interpretation in MS Excel & Minitab
Probability Plots
Goodness of Fit Tests
Curve Fitting with Johnson Distributions
MEASURE: X-Bar Charts
Uses
Construction & Calculations
Assumptions
Rational Subgroups
Sampling Considerations
Interpretation
MEASURE: Individuals Data
Uses, Comparison with X-Bar Chart
Construction, Calculation, Assumptions, Sampling Considerations & Interpretation
MEASURE: Process Capability
Histograms Use & Misuse
Probability Plots
Goodness of Fit Tests
Capability & Performance Indices
MEASURE: Attribute Charts
Uses
Selection (P, U, Np, C Charts)
Construction & Calculations
Sampling Considerations
Interpretation
MEASURE: Short Run SPC
Uses
Calculations
MEASURE: Measurement Systems Analysis
Stability Studies
Linearity Analysis
R & R Analysis
Analyze Stage Tools & Objectives
Analyze Stage Objectives
Definition of Waste
Analyzing Process for NVA
Methods to Increase Velocity
ANALYZE: Sources of Variation
Multi-vari Plots
Confidence Intervals on Mean
Confidence Intervals on Percent
Hypothesis Test On Mean
Hypothesis Test On Mean of Two Samples
Power & Sample Size
Contingency Tables
Non-parametric Tests
ANALYZE: ANOVA
Assumptions
Bartlett's Equality of Variance Test
One-Way ANOVA in Excel & Minitab
Two-Way ANOVA in Excel & Minitab
Multi-Factor ANOVA in Excel & Minitab
ANALYZE: Regression Analysis
Cause & Effect Diagrams
Scatter Diagrams
Linear Regression Model
Interpreting the ANOVA Table
Confidence & Prediction Limits
Residuals Analysis
Overview of Multiple Regression Tools including Designed Experiments
ANALYZE: Multiple Regression
Multivariate Models
Interaction Plots
Interpeting ANOVA Tables
Model Considerations
Stepwise Regression
Residuals Analysis
ANALYZE: Introduction to Designed Experiments
Terminology
DOE vs. Traditional Experiments
DOE vs. Historical Data
Design Planning
Design Specification
Complete Factorials
Fractional Factorials
ANALYZE: DOE Analsis Fundamentals
Estimating Effects & Coefficients
Significance Plots
Estimating Error
Extending Designs
Power of Design
Lack of Fit
Tests for Surface Curvature
ANALYZE: Design Selection
Desirable Designs
Performance
Other Design Models
ANALYZE: Transformations
Need for Transformations
Non-Constant Variance
Box-Cox Transforms
Calculated Parameters
Taguchi Signal to Noise Ratios
Improve Stage Tools & Objectives
Improve Stage Objectives
Tools to Prioritize Improvement Opportunities
Tools to Define New Process Flow
Tools to Define & Mitigate Failure Modes
Reference to Tools for Defining New Process Levels
IMPROVE: Response Surface Analysis
Objectives
Applications
Sequential Technique
Steepest Ascent
IMPROVE: Ridge Analysis
Graphical Method
Analytical Method
Overlaid Contours
Desirability Function
IMPROVE: Simulations
Applications
Examples
Applying Probabilistic Estimates
IMPROVE: Evolutionary Operation
Methodology
Example
Risks & Advantages
Control Stage Tools & Objectives
Control Stage Objectives
Methods of Control
Control Plans
Training
Measuring Improvement
Applying Lessons Learned
CONTROL: Serial Correlation
Applications
Estimating Autocorrelation
Interpreting Autocorrelation
Batch Control Charts
Design for Six Sigma Overview
Methodology
Tools for DFSS
System, Parameter & Tolerance Designs
Construction, Calculation, Assumptions, Sampling Considerations & Interpretation
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