Lean Six Sigma

Chapter 1: What is Six Sigma?

1. 1. Data Driven Processes and Decisions
2. 2. Defining Six Sigma
3. 3. Common Six Sigma Principles
4. 4. Challenges of Six Sigma

Chapter 2: Six Sigma History and Application

1. 1. The Development of Statistical Process Control
2. 2. Continuous Process Improvement: Toyota and Lean
3. 3. Motorola’s Focus on Defects
4. 4. ABB, Allied Signal, and General Electric
5. 5. Continued Growth of Six Sigma
6. 6. Applying Six Sigma Knowledge

Chapter 3: Other Process Improvement and Quality Methods

1. 1. Other Formal Quality or Process Improvement Programs
2. 2. When to Use Six Sigma

Chapter 4: Lean Concepts

1. 1. The Seven Muda
2. 2. Other Forms of Waste
3. 3. Two Types of Muda
4. 4. 5S
5. 5. Just-in-Time Manufacturing

Chapter 5: Basic Six Sigma Concepts

1. 1. Standard Deviation
2. 2. The Pareto Principle
3. 3. Voice of the Customer
4. 4. Basic Metrics

Chapter 6: Approaching the Problem

1. 1. Problem Functions: y = f(x)
2. 2. The 5 Whys
3. 3. Creating a Problem Statement

Chapter 7: What is a Process?

1. 1. Major Process Components
2. 2. Process Owners
3. 3. Data
4. 4. Defining Process Components: The SIPOC
5. 5. Tips for a SIPOC Brainstorming Session
6. 6. Sample SIPOC Diagrams

Chapter 8: Quality

1. 1. Critical to Quality Characteristics
2. 2. The CoQ and the CoPQ
3. 3. Quality is Critical to Success

Chapter 9: Selecting the Right Projects

1. 1. Juggling the Right Amount of Projects
2. 2. Enterprise-Level Selection Process
3. 3. See for Yourself

Chapter 10: Basic Six Sigma Team Management

1. 1. Building a Six Sigma Team
2. 2. Timelines, Scheduling, and Milestones
3. 3. Budgets

Chapter 11: Introduction to DMAIC and DMADV

1. 1. DMAIC versus DMADV
2. 2. Define, Measure, Analyze, Improve, Control, Design, Verify
3. 3. Breaking up the Elephant

Chapter 12: Define

1. 1. Creating a Project Charter
2. 2. Project Ground Rules
3. 3. Define Toolset
4. 4. Define Tollgate Checklist

Chapter 13: Measure

1. 1. Failure Modes and Effect Analysis
2. 2. Collecting Data
3. 3. Measure Tollgate Checklist

Chapter 14: Analyze

1. 1. Root Cause Analysis
2. 2. Graphical Analysis
3. 3. Statistical Analysis
4. 4. Analyze Tollgate Checklist

Chapter 15: Improve

1. 1. Solutions Selection Matrix
2. 2. Cost Benefit Analysis
3. 3. Piloting a Solution
4. 4. Planning Implementation
5. 5. Improve Tollgate Checklist

Chapter 16: Control

1. 1. Revise FMEA
2. 2. Create a Control Plan
3. 3. Visual Management
4. 4. SPC Charts
5. 5. Team Celebration and Reflection
6. 6. Control Tollgate Checklist

Chapter 17: Intermediate Graphical Analysis

1. 1. Additional Graphical Analysis Tools
2. 2. Creating an X-Bar Control Chart without Statistical Software
3. 3. Adding Free Data Analysis Tools to Excel

Chapter 18: Normal Probability Distributions

1. 1. Probability Distributions
2. 2. Creating a Histogram in Excel
3. 3. Normal Distributions
4. 4. Normal Probabilities

Chapter 19: Correlation and Regression

1. 1. Correlation
2. 2. Linear Regression Analysis
3. 3. Using Correlation and Regression in Six Sigma

Chapter 20: Non-Normal Probability Distributions

1. 1. Reviewing Normal Probability Distributions
2. 2. Non-Normal Continuous Distributions
3. 3. Non-Normal Discrete Distributions
4. 4. Applying Data to Real-World Situations

Chapter 21: Hypothesis Testing

1. 1. Hypothesis Test Basics
2. 2. Selecting the Right Hypothesis Test
3. 3. Why Run Hypothesis Tests
4. 4. Running Hypothesis Tests

Chapter 22: Sample Size

1. 1. A Review of Hypothesis Testing Errors
2. 2. What Information is Required for Choosing Sample Size?
3. 3. Sample Size Calculations: Choosing the Right Method
4. 4. Running and Analyzing Sample Size Tests in Minitab

Chapter 23: Advanced Control Charts

1. 1. Common Control Chart Types and When to Use Them
2. 2. Creating and Reading Control Charts in Minitab

Chapter 24: Applying Statistics to Business Applications through Six Sigma

1. 1. Common Challenges When Presenting Statistical Analysis
2. 2. Why Include Some Statistics?
3. 3. Tips for Creating Business-Friendly Presentations

Our Lean Six Sigma Green Belt program is all about giving you the tools and skills to make real changes in your workplace. It combines the efficiency-focused principles of Lean with the powerful quality-improvement tools of Six Sigma. You'll learn through engaging lessons, practical case studies, and hands-on projects, all designed to prepare you for real-world challenges.

This program is perfect for anyone involved in making their workplace better, especially those in roles like:

• 1. Project Managers
• 2. Quality Assurance Specialists
• 3. Operations Managers
• 4. Process Engineers
• 5. Team Leaders
• 6. Anyone keen to boost their skills in improving processes and quality.

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

• 1. Blend Lean and Six Sigma: Master these approaches to enhance business processes.
• 2. Navigate Projects with DMAIC: Use this proven framework to tackle any process improvement project.
• 3. Make Smarter Decisions with Data: Get comfortable using stats to solve problems and inform decisions.
• 4. Lead and Manage Projects: Step up as a leader who can spearhead impactful projects.
• 5. Cut Costs and Streamline Operations: Identify unnecessary steps in processes to save time and money.
• 6. Boost Quality and Customer Happiness: Implement changes that lead to better products and services.

CHAPTER 1: WHAT IS SIX SIGMA?

1. 1. Data Driven Processes and Decisions
2. 2. Defining 6 Sigma
3. 3. Common Six Sigma Principles
4. 4. Challenges of Six Sigma

CHAPTER 2: SIX SIGMA HISTORY AND APPLICATION

1. 1. The Development of Statistical Process Control
2. 2. Continuous Process Improvement: Toyota and Lean
3. 3. Motorola’s Focus on Defects
4. 4. ABB, Allied Signal, and General Electric
5. 5. Continued Growth of Six Sigma
6. 6. Applying Six Sigma Knowledge

CHAPTER 3: OTHER PROCESS IMPROVEMENT AND QUALITY METHODS

1. 1. Other Formal Quality or Process Improvement Programs
2. 2. When to Use Six Sigma

CHAPTER 4: LEAN CONCEPTS

1. 1. The Seven Muda
2. 2. Other Forms of Waste
3. 3. Two Types of Muda
4. 4. 5S
5. 5. Just-in-Time Manufacturing

CHAPTER 5: BASIC SIX SIGMA CONCEPTS

1. 1. Standard Deviation
2. 2. The Pareto Principle
3. 3. Voice of the Customer
4. 4. Basic Metrics

CHAPTER 6: APPROACHING THE PROBLEM

1. 1. Problem Functions: y = f(x)
2. 2. The 5 Whys
3. 3. Creating a Problem Statement

CHAPTER 7: WHAT IS A PROCESS?

1. 1. What is a Process?
2. 2. Major Process Components
3. 3. Process Owners
4. 4. Data
5. 5. Defining Process Components: The SIPOC
6. 6. Tips for a SIPOC Brainstorming Session
7. 7. Sample SIPOC Diagrams

CHAPTER 8: QUALITY

1. 1. Critical to Quality Characteristics
2. 2. The CoQ and the CoPQ
3. 3. Quality is Critical to Success

CHAPTER 9: SELECTING THE RIGHT PROJECTS

1. 1. Juggling the Right Amount of Projects
2. 2. Enterprise-Level Selection Process
3. 3. See for Yourself

CHAPTER 10: BASIC SIX SIGMA TEAM MANAGEMENT

1. 1. Building a Six Sigma Team
2. 2. Timelines, Scheduling, and Milestones
3. 3. Budgets

CHAPTER 11: INTRODUCTION TO DMAIC AND DMADV

1. 1. DMAIC versus DMADV
2. 2. Define
3. 3. Measure
4. 4. Analyze
5. 5. Improve
6. 6. Control
7. 7. Design
8. 8. Verify
9. 9. Breaking up the Elephant

CHAPTER 12: DEFINE

1. 1. Creating a Project Charter
2. 2. Project Ground Rules
3. 3. Define Toolset
4. 4. Define Tollgate Checklist

CHAPTER 13: MEASURE

1. 1. Failure Modes and Effect Analysis
2. 2. Collecting Data
3. 3. Measure Tollgate Checklist

CHAPTER 14: ANALYZE

1. 1. Root Cause Analysis
2. 2. Graphical Analysis
3. 3. Statistical Analysis
4. 4. Analyze Tollgate Checklist

CHAPTER 15: IMPROVE

1. 1. Solutions Selection Matrix
2. 2. Cost Benefit Analysis
3. 3. Piloting a Solution
4. 4. Planning Implementation
5. 5. Improve Tollgate Checklist

CHAPTER 16: CONTROL

1. 1. Revise FMEA
2. 2. Create a Control Plan
3. 3. Visual Management
4. 4. SPC Charts
5. 5. Team Celebration and Reflection
6. 6. Control Tollgate Checklist

CHAPTER 17: INTERMEDIATE GRAPHICAL ANALYSIS

1. 1. Additional Graphical Analysis Tools
2. 2. Creating an X-Bar Control Chart without Statistical Software
3. 3. Adding Free Data Analysis Tools to Excel

CHAPTER 18: NORMAL PROBABILITY DISTRIBUTIONS

1. 1. Probability distributions
2. 2. Creating a Histogram in Excel
3. 3. Normal Distributions
4. 4. Normal Probabilities

CHAPTER 19: CORRELATION AND REGRESSION

1. 1. Correlation
2. 2. Linear Regression Analysis
3. 3. Using Correlation and Regression in Six Sigma

CHAPTER 20: NON-NORMAL PROBABILITY DISTRIBUTIONS

1. 1. Reviewing Normal Probability Distributions
2. 2. Non-Normal Continuous Distributions
3. 3. Non-Normal Discrete Distributions
4. 4. Applying Data to Real-World Situations

CHAPTER 21: HYPOTHESIS TESTING

1. 1. Hypothesis Test Basics
2. 2. Selecting the Right Hypothesis Test
3. 3. Why Run Hypothesis Tests
4. 4. Running Hypothesis Tests

CHAPTER 22: SAMPLE SIZE

1. 1. A Review of Hypothesis Testing Errors
2. 2. What Information is Required for Choosing Sample Size?
3. 3. Sample Size Calculations: Choosing the Right Method
4. 4. Running and Analyzing Sample Size Tests in Minitab

CHAPTER 23: ADVANCED CONTROL CHARTS

1. 1. Common Control Chart Types and When to Use Them
2. 2. Creating and Reading Control Charts in Minitab

CHAPTER 24: APPLYING STATISTICS TO BUSINESS APPLICATIONS THROUGH SIX SIGMA

1. 1. Common Challenges When Presenting Statistical Analysis
2. 2. Why Include Some Statistics?
3. 3. Tips for Creating Business-Friendly Presentations

CHAPTER 25: INTRODUCTION TO MINITAB

1. 1. Overview of the Minitab Interface
2. 2. Overview of the Minitab Menu
3. 3. The Calc Menu Option

CHAPTER 26: GRAPHS AND QUALITY TOOLS IN MINITAB

1. 1. The Graph Menu Option
2. 2. The Stat Menu: Quality Tools
3. 3. Gage Studies

CHAPTER 27: THE STAT MENU IN MINITAB

1. 1. Basic Statistics
2. 2. Statistical Tests

CHAPTER 28: ANALYSIS OF VARIANCE (1-WAY ANOVA)

1. 1. Preparing for a 1-Way ANOVA
2. 2. Running a 1-Way ANOVA

CHAPTER 29: DESIGN OF EXPERIMENTS

1. 1. When Analysis Can Occur on Existing Data
2. 2. Why Run an Experiment?
3. 3. Best-Guess Trial-and-Error versus Factorial Experiments
4. 4. What is Factorial Experimentation?
5. 5. Step-by-Step Guide for Creating a Designed Experiment
6. 6. Step-by-Step Guide to Running a 2k Factorial Experiment in Minitab
7. 7. Next Steps

CHAPTER 30: INTERACTIONS, MULTI-LEVEL FACTORIALS, AND CREATING EXPERIMENTS

1. 1. The Importance of Understanding Interactions
2. 2. 2k Factorials Versus Multi-Level Factorials
3. 3. Tips for Creating Successful Designed Experiments

CHAPTER 31: BRAINSTORMING AND PROCESS IMPROVEMENT TOOLS

1. 1. Activity Network Diagram
2. 2. Affinity Diagram
3. 3. Interrelationship Diagram
4. 4. Force Field Analysis
5. 5. Responsibility Chart
6. 6. Nominal Group Technique
7. 7. Check Sheets
8. 8. SWOT Analysis
9. 9. Starburst Brainstorming
10. 10. Role-Play or Figuring Brainstorming
11. 11. Brainwriting
12. 12. Brainstorming Alone

CHAPTER 32: PROCESS MAPS

1. 1. Why Create Process Maps
2. 2. Two Types of Process Map
3. 3. Process Map Symbols
4. 4. Basic Flow Charts
5. 5. Creating a Swimlane Diagram
6. 6. Tips for Creating Concise, Attractive Process Maps

CHAPTER 33: VALUE STREAM MAPPING

1. 1. What is Value Stream Mapping?
2. 2. Value Stream Map Symbology
3. 3. Value Stream Mapping Tips
4. 4. Value Stream Mapping Steps
5. 5. What Do You Do with Value Stream Maps?
6. 6. Tips for Creating a Future-State Value Stream Map

Dive into our Lean Six Sigma Black Belt program, designed to turn you into a champion of quality improvement. 2. You’ll learn to lead complex projects with confidence, using top-notch analytical tools to solve tough problems and make significant improvements wherever you work. 3. Whether it’s streamlining operations, enhancing product quality, or boosting customer satisfaction, you’ll be the go-to expert.

1. Quality Managers who want to take their skills to the next level.
2. Operations and Project Managers keen on driving efficiency and excellence.
3. Process Improvement Specialists looking to deepen their expertise.
4. Manufacturing and Financial Managers who aim to refine processes and cut costs.
5. Everyone aspiring to master Six Sigma and lead change in their organization.

1. Master Six Sigma Methodologies: Tackle complex challenges using DMAIC and DMADV approaches.
2. Sharpen Your Statistical Skills: Become a pro at using data to make well-informed decisions.
3. Lead with Confidence: Manage projects and teams effectively, ensuring projects cross the finish line successfully.
4. Become a Problem-Solving Hero: Identify issues quickly and implement smart solutions.
5. Navigate Change Skillfully: Guide your organization through significant changes with minimal fuss.
6. Make Smart Financial Choices: Learn how to assess the costs and benefits of your projects, making sure they add value.