Education is a key component of your Six Sigma initiative. Below is a recommendation of what should be included in your training, whether conducted in-house or by a third-party consultant. If you feel that some relevant topic is missing from the curriculum or body of knowledge of any of the areas listed below, please send an email to iSixSigma. We appreciate your input.
Six Sigma Master Black Belt Curriculum and Body of Knowledge
Overview
Overview of Six Sigma
DMAIC Methodology Overview
Financial Benefits of Six Sigma
The Impact of Six Sigma to The Organization
The Six Sigma Language
Project Prioritization
Training the Trainer
Integrating DMADV (Design for Six Sigma Methodology) with DMAIC
Leading Organizational Change
Define
Project Management
Project Definition
Project Charter
Developing a Business Case
Chartering a Team
Defining Roles and Responsibilities
Gathering Voice of the Customer, Support for Project
Translating Customer Needs into Specific Requirements (CTQs)
SIPOC Diagram
Define Phase Review
Measure
Process Mapping (As-Is Process)
Data Attributes (Continuous Versus Discrete)
Defining Metrics
Measurement System Analysis
Gage Repeatability and Reproducibility
Data Collection Techniques
Calculating Sample Size
Data Collection Plan
Understanding Variation
Measuring Process Capability
Calculating Process Sigma Level
Rolled Throughput Yield
Visually Displaying Baseline Performance
Statistical Software Training
Measurement Phase Review
Analyze
Visually Displaying Data (Histogram, Run Chart, Pareto Chart, Scatter Diagram)
Detailed (Lower Level) Process Mapping of Critical Areas
Value-Added Analysis
Cause and Effect Analysis (a.k.a. Fishbone, Ishikawa)
Affinity Diagram
Data Segmentation and Stratification
Correlation and Regression (Linear, Multiple)
Process Performance (Cp, CpK, Pp, PpK, CpM)
Short Term Versus Long Term Capability
Non-Normal Data Distribution Transformations
Central Limit Theorem
Goodness of Fit Testing
Hypothesis Testing
Analysis of Variance (ANOVA), Two Sample T-Tests, Chi Squared Test
Design of Experiments (DOE) – Full, Fractional Factorials
Verification of Root Causes
Determining Opportunity (Defects and Financial) for Improvement
Project Charter Review and Revision
Statistical Software Training
Analyze Phase Review
Improve
Brainstorming
Multi-Voting
Process Simulation
Quality Function Deployment (House of Quality)
Selecting a Solution
Failure Modes and Effects Analysis (FMEA)
Poka Yoke (Mistake Proofing Your New Process)
Piloting Your Solution
Implementation Planning
Statistical Software Training
Culture Modification Planning For Your Organization
Improve Phase Review
Control
Assessing The Results of Process Improvement
Statistical Process Control (SPC)
Rational Subgrouping
Establishing Process Standards for Inputs, Process and Outputs