Certification is based on a project simulation, in-class assignments, examination, and participation.
Course objectives of Six Sigma Green Belt
Learn the fundamental principles of process improvement
Manage projects using the familiar DMAIC methodology
Leverage the GRES methodology for problem-solving
Apply basic statistical analyses when appropriate to support improvement efforts
Learn how to verify process improvements by using statistical and common-sense methods
Facilitate Green Belt process improvement projects
Learn how to shift processes, reduce variation, stabilize processes, and improve their capabilities
Day 1
Introduction to Six Sigma Green Belt and Define
Course Objectives and Structure
Course Overview
Introduction to Six Sigma Green Belt Training
Project Stakeholders
D1 Project Selection
D2 Scope Projects
D3 Develop Charter
Day 2
Measure
M1 Detailed Process Maps
M2 Data Analysis
M3 Data Management Plans
M4 Algebra Review & Summary Statistics
M5 Graphical Displays
M6 Time Based Displays
Day 3
Analyze
A1 Value Add Analysis
A2 Stratification Analysis
A3 Root Cause Analysis
Day 4
Improve and Control
I1 Process Improvement
I2 Project Validation
C1 Control Methods
C2 Control Charts
C3 Sustainability
Six Sigma Green Belt Certification
Closing the Training
Day 5
Certification Exam
Examination, Six Sigma Green Belt
Duration: 3 hours. The exam covers the following competency domains:
Domain 1; Fundamental principles of Six Sigma Green Belt
Domain 2; Implementation of the rigorous DMAIC methodology
Domain 3; The use of data-based decision making
Domain 4; Planning and completing Six Sigma projects
Domain 5; Interpretation of statistical tools
Domain 6; Improvement of processes and how to solve organizational problems
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