Lean Six Sigma Green Belt Training Program

Table of Contents: 

• Unit 1: Introduction to Six Sigma 
• Unit 2: Projects and Processes 
• Unit 3: Advanced DMAIC 
• Unit 4: Beginner Statistics Unit 5: Intermediate Statistics

Target Audience 

This program is perfect for anyone involved in making their workplace better, especially those in roles like : 
Project Managers Quality Assurance Specialists 

• Operations Managers
• Process Engineers 
• Team Leaders
• Anyone keen to boost their skills in improving processes and quality. 

Key Learning Outcomes:

By the end of this program, you'l be able to: 

• Blend Lean and Six Sigma: Master these approaches to enhance business processes. 
• Navigate Projects with DMAIC: Use this proven framework to tackle any process improvement project. 
• Make Smarter Decisions with Data: Get comfortable using stats to solve problems and inform decisions. 
• Lead and Manage Projects: Step up as a leader who can spearhead impactful projects. 

Cut Costs and Streamline Operations: Identify unnecessary steps in processes to save time and money. 
Boost Quality and Customer Happiness: Implement changes that lead to better products and services

Practice Projects:

We believe in learning by doing. That’s why you’l dive into projects that tackle real problems: 

• Process Makeover: Choose an actual process at work or in our simulations and make it better from start to finish. 
• Lean Challenge: Apply Lean tools to streamline a process, organize a space, or improve efficiency.
•  Data Deep Dive: Use real data to find issues and opportunities, applying your new statistical skils. 
• Quality Quest: Improve a product or service’s quality, working within typical constraints like budget and time.
•  Each project ends with a chance to present your results, showing off your new skills and insights. This hands-on approach doesn’t just make learning more effective—it also gets you ready to apply these skills on the job right away.

Interested in stepping up your game at work? Join our Lean Six Sigma Green Belt program and start making a difference today.

Unit 1: Introduction to Six Sigma
Chapter 1: What is Six Sigma?

•    Data Driven Processes and Decisions 
•    Defining Six Sigma
•    Common Six Sigma Principles 
•    Challenges of Six Sigma

Chapter 2: Six Sigma History and Application
•    The Development of Statistical Process Control 
•    Continuous Process Improvement: Toyota and Lean 
•    Motorola’s Focus on Defects 
•    ABB, Allied
•     Signal, and General Electric 
•    Continued Growth of Six Sigma 
•    Applying Six Sigma Knowledge

Chapter 3: Other Process Improvement and Quality Methods
•    Other Formal Quality or Process Improvement Programs 
•    When to Use Six Sigma

Chapter 4: Lean Concepts
•    The Seven Muda 
•    Other Forms of Waste 
•    Two Types of Muda
•    5S
•    Just-in-Time Manufacturing

Chapter 5: Basic Six Sigma Concepts
•    Standard Deviation
•    The Pareto Principle 
•    Voice of the Customer
•    Basic Metrics

Chapter 6: Approaching the Problem
•    Problem Functions: y = f(x)
•    The 5 Whys 
•    Creating a Problem Statement

Unit 2: Projects and Processes
Chapter 7: What is a Process? 
•    Major Process Components 
•    Process Owners 
•    Data
•    Defining Process Components: The SIPOC
•    Tips for a SIPOC Brainstorming Session
•    Sample SIPOC Diagram

Chapter 8: Quality
•    Critical to Quality Characteristics 
•    The CoQ and the CoPQ 
•    Quality is Critical to Success

Chapter 9: Selecting the Right Projects 
•    Juggling the Right Amount of Projects
•    Enterprise-Level Selection Process 
•    See for Yourself

Chapter 10: Basic Six Sigma Team Management
•    Building a Six Sigma Team 
•    Timelines, Scheduling, and Milestones 
•    Budget

Chapter 11: Introduction to DMAIC and DMADV
•    DMAIC versus DMADV 
•    Define, Measure, Analyze, Improve, Control, Design, Verify 
•    Breaking up the Elephant

Unit 3: Advanced DMAIC

Chapter 12: Define

•    Creating a Project Charter
•    Project Ground Rules 
•    Define Toolset 
•    Define Tolgate Checklist
Chapter 13: Measure
•    Failure Modes and Effects Analysis 
•    Collecting Data 
•    Measure Tolgate Checklist
Chapter 14: Analyze
•    Root Cause Analysis 
•    Graphical Analysis 
•    Statistical Analysis 
•    Analyze Tolgate Checklist
Chapter 15: Improve
•    Solutions Selection Matrix 
•    Cost Benefit Analysis 
•    Piloting a Solution 
•    Planning Implementation
•    Improve Tolgate Checklist
Chapter 16: Control
•    Revise FMEA 
•    Create a Control Plan
•    Visual Management
•    SPC Charts 
•    Team Celebration and Reflection 
•    Control Tolgate Checklist
Unit 4: Beginner Statistics
Chapter 17: Intermediate Graphical Analysis
•    Additional Graphical Analysis Tools
•    Creating an X-Bar Control Chart without Statistical Software 
•    Adding Free Data Analysis Tools to Excel

Chapter 18: Normal Probability Distributions
•    Probability Distributions
•    Creating a Histogram in Excel 
•    Normal Distributions 
•    Normal Probabilities

Chapter 19: Correlation and Regression
•    Correlation
•    Linear Regression Analysis 
•    Using Correlation and Regression in Six Sigma 
Unit 4: Beginner Statistics
Chapter 20: Non-Normal Probability Distributions
•    Reviewing Normal Probability Distributions
•    Non-Normal Continuous Distributions
•    Non-Normal Discrete Distributions 
•    Applying Data to Real-World Situations
Chapter 21: Hypothesis Testing
•    Hypothesis Test Basics 
•    Selecting the Right Hypothesis Test 
•    Why Run Hypothesis Tests 
•    Running Hypothesis Tests
Chapter 22: Sample Size
•    A Review of Hypothesis Testing Errors 
•    What information is required to Choose a sample size? 
•    Sample Size Calculations: Choosing the Right Method 
•    Running and Analyzing Sample Size Tests in Minitab
Chapter 23: Advanced Control Charts 
•    Common Control Chart Types and When to Use Them 
•    Creating and Reading Control Charts in Minitab
Chapter 24: Applying Statistics to Business Applications through Six Sigma
•    Common Challenges When Presenting Statistical Analysis 
•    Why Include Some Statistics? 
•    Tips for Creating Business-Friendly Presentations

Practice Projects We believe in learning by doing. That’s why you’ll dive into projects that tackle real problems:

• Process Makeover: Choose an actual process at work or in our simulations and make it better from start to finish.
•  Lean Challenge: Apply Lean tools to streamline a process, organize a space, or improve efficiency. 
• Data Deep Dive: Use real data to find issues and opportunities, applying your new statistical skills
• Quality Quest: Improve a product or service’s quality, working within typical constraints like budget and time.

Each project ends with a chance to present your results, showing off your new skills and insights. This hands-on approach doesn’t just make learning more effective—it also gets you ready to apply these skills on the job right away.

Interested in stepping up your game at work? Join our Lean Six Sigma Green Belt program and start making a difference today