Green Belt Body of Knowledge

Introduction

• Six Sigma history and terminology
• The DMAIC process
• Processes, inputs, and outputs
• Six Sigma roles and responsibilities

Project Selection

• Project selection criteria
• Identifying internal metrics
• Voice of the customer: SIPOC, VOC plans, affinity diagrams, Kano analysis, critical-to-satisfaction (CTS) characteristics
• Sample projects

Lean Enterprise

• Introduction to lean tools and eight wastes
• Value stream mapping

Team Building

• Roles and responsibilities
• Ingredients for successful teams
• Communication and feedback

Project Management

• Project life cycle
• Project team and stakeholders
• Project management tools: Scope statement, work breakdown structure, risk register, action items log, lessons learned

Basic Statistics

• Variation, sample, population, distribution, mean, median, mode, range, standard deviation, variance
• Descriptive and inferential statistics
• Normal and non-normal data, Anderson-Darling normality test
• Graphic methods: Histograms, Pareto charts, scatter diagrams
• Variable and attribute data
• Run charts and control charts: I-MR, X-bar and R, P, and U
• Special and common cause variation
• Control chart analysis 
• Basic statistics in Minitab 

Define Phase

• Selecting and defining output characteristics and performance standards
• Detailed process mapping
• Project charter, problem statements
• Project scope, goals, objectives, and performance measures

Measure Phase

• Validate the measuring system
• Attribute agreement analysis and variable gage R & R
• Establishing process capability
• Measurement methods
• Data collection, sampling methods, types of data
• Process performance vs. specifications
• Attribute and variable process capability

Analyze Phase

• Identifying and screening potential causes
• Root cause analysis
• Brainstorming, cause and effect (fishbone) diagram, five-why analysis, is/is not analysis
• Hypothesis testing for variable and attribute data (Correlation, Regression, ANOVA, t-tests, Chi-square and proportion testing)
• List reduction, risk frequency grid, cause and effect matrix, and potential X matrix
• Overview of DOE

Improve Phase

• Developing solution(s), solution matrices, and managing change
• Re-evaluating the measuring system
• Action plans and pilot studies
• Establishing final capability and verifying improvements

Control Phase

• Implementing process controls and control plans
• Mistake proofing
• Internal audits and ongoing evaluation
• Calculating financial benefits, ROI, soft vs. hard project benefits
• Project closure, leveraging benefits, and team recognition