Six Sigma Green Belt Course Topics

Lesson Topic
Overview A top-level overview of the topics covered in this course
Why Six Sigma? An interactive lesson to answer an important question
Recognizing an Opportunity Linking your Green Belt activities to the organization’s vision and goals
Choosing the Project-Pareto Analysis How to pick a winning project using Pareto Analysis
Assessing Six Sigma Projects How to carefully assess Six Sigma project candidates to assure success
Develop Project Plan1-Working with teams Team selection and dynamics; brainstorming; consensus decision making; nominal group technique
Develop project plan 2-Communicating with stakeholders Stakeholder analysis, communication and planning, cross functional collaboration, and Force Field Analysis
Develop project plan 3-Project charter Obtain a charter for your project
Develop Project Plan 4-Project planning Work breakdown structures, DMAIC tasks
Develop Project Plan Lesson 5-Project Management Project schedule management
Develop Project Plan 6-Dealing with obstacles Obstacle avoidance tactics and management support strategies
high level maps 1-High level process maps L-Maps, linking project charter Ys to L-Map processes
High level maps 2-Intermediate level process maps Mapping the process from supplier to customer
VOC 1-Understanding customers Kano Model, getting the voice of the customer using the critical incident technique
Principles of variation 1-Measuring success How will I measure success? Are my measurements trustworthy? Learn about scales of measurement, data types, measurement error principles.
Principles of variation 2-Statistical studies Enumerative and analytic studies; statistical process control principles; operational definitions
Establish baseline 1-Descriptive statistics Descriptive statistics for measuring distribution location, spread, and shape
Establish baseline 2-Creating process behavior charts Control charts for individual observations and moving ranges
Establish baseline 3-Understanding process behavior charts Control chart pattern analysis
Establish baseline 4-Data distributions Continuous probability distributions for Six Sigma: normal, Student’s t.
Establish baseline 5-Predicting process performance Process capability analysis
Establish baseline 6-Estimating value stream yields Rolled throughput yield, normalized yield, process sigma level
Establish baseline 7-Detailed process mapping Create detailed pictures of the as-is process
Test theories with data 1-Estimating population characteristics from samples Statistical inference
Stratify data 1-Data collection Data collection and sampling for stratification
Stratify data 2-Identify drivers Data stratification tools: tree diagrams, Pareto analysis, matrix diagrams, check sheets, defect location maps
Stratify data 3-Data distributions Distributions-graphical data summaries. Histograms and frequency plots.
Stratify data 4-Look at CTQ by Two or More X Drivers Multi-Vari Charts
Set goals for the outputs 1-Goal setting Benchmarking as an aid in goal setting
Set goals for outputs 2-Risk reduction Project FMEA
Focus problem statement-Opportunity Maps Use activity maps to identify value added activities
Develop theories 1-Listing potential causes Brainstorming, cause-and-effect diagrams (Ishikawa diagrams, fishbone diagrams)
Test theories with data 1-Validating assumptions Testing common assumptions: data type, independence, normality
Test theories with data 2-Experimenting Experimentation concepts
Test theories with data 3-Investigating drivers 1 Testing one way classifications: t-tests
Model cause and effect 1-Investigating drivers 2 Correlation analysis, scatter plots
Measurement systems analysis 1-Measurement error Analysis of continuous data measurement systems (taught here, but used earlier in actual projects)
Determine improvement strategy 1-Implementation planning and performance prediction Improvement project planning, pilot study, simulation
Implement 1-Full-scale implementation Institutionalize your changes
Implement 2-Control system design Process control planning, process control principles, choosing the process elements to monitor, approaches to process control, and next steps.
Implement 3-Creating the new system Process deployment maps
Implement 4-Metrics Dashboards for process control and improvement
Implement 5-Continuous improvement Training needs analysis, continuous improvement with KAIZEN, project closure