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Six Sigma Master Black Belt Curriculum and Body of Knowledge

By Charles Waxer

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 Developing a Process Control Plan Documenting the Process Statistical Software Training Control Phase Review