Certified Six Sigma Green Belt

Created by LEC Team
Last updated Mon, 27-Mar-2023
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 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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