Lean Six Sigma Green Belt: Full Course

Interested in this course? Email us at [email protected]

Course curriculum

1. Video Overview
2. 1.1 Customer Value
3. 1.2 Lean
4. 1.3 Six Sigma
5. 1.4 Lean Six Sigma in the Age of AI
6. 1.5 Two Ways Lean Six Sigma Professionals Use AI
7. 1.6 Northbridge Telecom
8. 1.7 Summary
9. Quiz
10. Templates
1. Video Overview
2. 2.1 Lean Organizational Culture
3. 2.2 Challenges in Maintaining a Lean Culture
4. 2.3 Summary
5. Quiz
1. Video Overview
2. 3.1 Defining a Process Y=f(x)
3. 3.2 Voice of the Customer, Critical to Quality, Voice of the Process and Cost of Poor Quality
4. 3.3 Fundamental Challenges
5. 3.4 Continuous Improvement
6. 3.5 Five Ss
7. 3.6 Cycle Time
8. 3.7 Lean Six Sigma as a Project
9. 3.8 Merck
10. 3.9 Cambridge Analytica
11. 3.10 Summary
12. Quiz
13. Templates
1. Video Overview
2. 4.1 Framework
3. 4.2 MetroBank
4. 4.3 Measurement Systems Analysis
5. 4.4 Summary
6. Quiz
7. Templates
1. Video Overview
2. 5.1 Why Process Flow Matters
3. 5.2 SIPOC
4. 5.3 Productive Time and Elapsed Time
5. 5.4 Value Stream Mapping
6. 5.5 Process Mapping
7. 5.6 X-Y Matrix
8. 5.7 Metrics
9. 5.8 Kanban
10. 5.9 Takt Time
11. 5.10 PrimePath Logistics
12. 5.11 Summary
13. Quiz
14. Templates
1. Video Overview
2. 6.1 Efficient Manufacturing Processes
3. 6.2 Apex Components
4. 6.3 Quality and Continuous Improvement
5. 6.4 Summary
6. Templates
7. Quiz
1. Video Overview
2. 7.1 Efficient Supply Chain Processes
3. 7.2 Supply Chains and AI
4. 7.3 Zara
5. 7.4 NVIDIA
6. 7.5 Summary
7. Quiz
1. Video Overview
2. 8.1 Efficient Product Development Processes
3. 8.2 Delays Between Activities
4. 8.3 Delays Within Activities
5. 8.4 Amazon
6. 8.5 Summary
7. Quiz
1. Video Overview
2. 9.1 Efficient Healthcare Processes
3. 9.2 Metro Central Medical Center
4. 9.3 Summary
5. Quiz
1. Video Overview
2. 10.1 Problem Finding
3. 10.2 Managing Process Mean and Variation
4. 10.3 Summary
5. Quiz
1. Video Overview
2. 11.1 Basic Charts
3. 11.2 Control Charts
4. 11.3 Summary
5. Templates
6. Quiz
1. Video Overview
2. 12.1 Root Cause
3. 12.2 Creating a Bar Chart
4. 12.3 Summary
5. Quiz
6. Templates
1. Video Overview
2. 13.1 Building a Pareto Chart
3. 13.2 NovaCart
4. 13.3 Summary
5. Quiz
6. Templates
1. Video Overview
2. 14.1 Creating a Fishbone Diagram
3. 14.2 Examples in Marketing, Operations and Customer Satisfaction
4. 14.3 Using a ChatGPT Prompt to Create a Fishbone Diagram
5. 14.4 Summary
6. Quiz
7. Templates
1. Video Overview
2. 15.1 Common and Special Cause Variation
3. 15.2 Multi-Vari
4. 15.3 Using AI to Support Multi-Vari Analysis
5. 15.4 Summary
6. Quiz
1. Video Overview
2. 16.1 The Standard Deviation as a Measure of Variation
3. 16.2 Summary
4. Quiz
1. Video Overview
2. 17.1 Classes of Distributions
3. 17.2 Special Properties of the Normal Distribution
4. 17.3 Z Value
5. 17.4 Using AI to Calculate Z Value
6. 17.5 Summary
7. Quiz
8. Z Table
1. Video Overview
2. 18.1 Standard Deviation and the Concept of Six Sigma
3. 18.2 Artificial Intelligence and Six Sigma Quality
4. 18.3 Summary
5. Quiz
6. Is Six Sigma Too Ambitious?
7. Templates
1. Video Overview
2. 19.1 Sampling
3. 19.2 Process Control
4. 19.3 CrystalPure Beverages
5. 19.4 Artificial Intelligence and Statistical Process Control
6. 19.5 Summary
7. Quiz
1. Video Overview
2. 20.1 Positioning the UCL and LCL
3. 20.2 Alpha Errors
4. 20.3 Beta Errors
5. 20.4 Artificial Intelligence and Intelligent Process Monitoring
6. 20.5 Summary
7. Quiz
1. Video Overview
2. 21.1 A Step-by-Step Approach
3. 21.2 Using AI to select the Right Chart
4. 21.3 Summary
5. Quiz
6. Templates
1. Video Overview
2. 22.1 Designing a New Six-Sigma Monitoring System
3. 22.2 Establishing the Center Line of the X-Bar Chart
4. 22.3 Setting the Upper and Lower Control Limits
5. 22.4 Using AI to Create the Control Chart
6. 22.5 Summary
7. Quiz
8. Templates
1. Video Overview
2. 23.1 Establishing the Center Line
3. 23.2 Setting the UCL and LCL
4. 23.3 Summary
5. Quiz
6. Templates
1. Video Overview
2. 24.1 Constructing the X-Bar Chart for Large Samples
3. 24.2 Summary
4. Quiz
5. Templates
1. Video Overview
2. 25.1 Constructing the S-Chart
3. 25.2 Summary
4. Quiz
5. Templates
1. Video Overview
2. 26.1 Samples greater than 25
3. 26.2 Summary
4. Quiz
5. Templates
1. Video Overview
2. 27.1 P Charts
3. 27.2 Summary
4. Quiz
5. Templates
1. Video Overview
2. 28.1 Customer Expectations
3. 28.2 Taguchi Loss Function
4. 28.3 Process Capability
5. 28.4 AI and Process Capability
6. 28.5 Summary
7. Quiz
8. Templates
1. Video Overview
2. 29.1 Failure Mode and Effects
3. 29.2 Poka-Yoke
4. 29.3 Elements of Control and Response Plan
5. 29.4 Chipotle
6. 29.5 Artificial Intelligence for Risk Identification and Prevention
7. 29.6 Summary
8. Quiz
9. Templates
1. Video Overview
2. 30.1 The Basics of Hypothesis Testing
3. 30.2 One Sample t Test
4. 30.3 Two Sample t Test
5. 30.4 Anova
6. 30.5 NonParametric Tests
7. 30.6 Confidence Intervals
8. 30.7 Artificial Intelligence as a Statistical Assistant
9. 30.8 Summary
10. Quiz
11. Calculators for Hypothesis Tests
1. Video Overview
2. 31.1 Relationship Between Variables
3. 31.2 The Regression Line
4. 31.3 Significance
5. 31.4 Multiple Regression
6. 31.5 Artificial Intelligence and Predictive Modeling
7. 31.6 Summary
8. Quiz
9. Calculator
1. 32.1 Aflac
1. 33.1 Virtual Case Study
1. 34.1 Virtual Case Study Solution
1. 35.1 Summary and Conclusions
1. 36.1 Moving Up to the Black Belt
1. Applying DMAIC to a Project. Step-by-Step
1. Project Directions
2. Zoni Footwear Case
3. Case Questions and Framework
4. Case Analysis and Solution
5. Excel Project Templates
6. Excel Template Solutions

About this course

233 lessons

Discover your potential, starting today

Enroll today

1 Competitive Business Processes

2 Lean Organizations

3 Basics of Lean Six Sigma

4 Lean Six Sigma Cycle DMAIC

5 Improving Process Flow

6 Lean Manufacturing

7 Lean Supply Chain

8 Lean Product Development

9 Lean Health Care

10 The Challenges of Six-Sigma

11 Six Sigma Tools

12 Histograms

13 Pareto Charts

14 Fishbone Diagrams

15 Process Variation Common and Special Cause

16 Standard Deviation

17 Probability Distributions

18 Concept of a Six-Sigma Process

19 Sampling and Process Control

20 Alpha and Beta Errors

21 Selecting the Appropriate Control Chart

22 X-Bar Charts N less 12

23 Small Size Samples R-Charts

24 Intermediate Size Samples X-Bar Charts

25 Intermediate Size Samples S-Charts

26 Large Size Samples X-Bar

27 P-Charts

28 Customer Expectations USL and LSL

29 Anticipating Problems and Mitigation

30 Hypothesis Testing

31 Regression Correlation

32 Aflac

33. Virtual Case Study

34. Virtual Case Study Solution

35 Summary and Conclusion

36 Moving Up to the Black Belt

Project Example Step-by-Step

Project

About this course