Want to Learn Lean Six Sigma from scratch?

If you want to learn Lean Six Sigma from scratch in a structured manner then at EALSS Academy we created a 13hrs FREE Lean Six Sigma Yellow belt training for you.

This training course will help you start your Lean Six Sigma journey from a very basic level and help you understand the fundamentals easily.

Who can join this FREE training?

• Anyone who wants to learn Lean Six Sigma from a basic level.
• Anyone who is preparing for the Lean Six Sigma yellow belt exam (ASQ/IASSC/CSSC) and want to achieve the Yellow belt certification before 2023.
• Lean Six Sigma practitioners who want to revise the basic concepts of Lean Six Sigma.

What you will learn throughout the training? Check out below -

1. Six Sigma and Lean Fundamentals

1. 1.1 Six Sigma Foundations and Principles
2. 1.2 Purpose and Goals of Six Sigma
3. 1.3 Key characteristics of Six Sigma
4. 1.4 Evolution of Six Sigma
5. 1.5 Six Sigma Methodology
6. 1.6 Six Sigma projects
7. 1.7 Value of Six Sigma to the organization
8. 1.8 Purpose and Value of Lean
9. 1.9 Lean Concepts and Process steps
10. 1.10 Lean and the concept of Value added
11. 1.11 Lean tools - Just in time
12. 1.12 Lean tools- Poka-yoke
13. 1.13 Lean tools - Kanban
14. 1.14 Lean tools - Value stream mapping
15. 1.15 Six Sigma and Lean: Differences & Similarities
16. 1.16 Integrating Lean with Six Sigma
17. 1.17 Lean Six Sigma Deployment
18. Six Sigma: Team basics, Roles, and Responsibilities
19. 1.18 Types of Six Sigma teams
20. 1.19 Value of Sigma teams
21. 1.20 Team evolution: Forming, Storming, and Norming
22. 1.21 Teams: Performing, Adjourning and Recognition
23. 1.22 Brainstorming
24. 1.23 Nominal group technique
25. 1.24 Multivoting
26. 1.25 Importance of effective team communication
27. 1.26 Using agendas of communication
28. 1.27 Meeting minutes
29. 1.28 Using project status reports
30. 1.29 Six Sigma in the organization
31. 1.30 The Six Sigma yellow belt
32. 1.31 Six Sigma project teams
33. Six Sigma quality tools
34. 1.32 Introduction to quality tools used in Six Sigma
35. 1.33 Pareto chart
36. 1.34 Creating and using pareto charts
37. 1.35 Using Flowcharts in Six Sigma
38. 1.36 Using Run charts in Six Sigma
39. 1.37 Root cause analysis in Six Sigma
40. 1.38 Cause and effect diagram in Six Sigma
41. 1.39 Check Sheets in Six Sigma
42. Six Sigma Metrics
43. 1.40 Introduction to Six Sigma metrics
44. 1.41 Methods for measuring performance
45. 1.42 Defects per unit (DPU)
46. 1.43 Defects per million opportunities (DPMO)
47. 1.44 Calculating DPMO
48. 1.45 First-time yield (FTY)
49. 1.46 Rolled throughput yield (RTY)
50. 1.47 Cost of poor quality(COPQ)
51. 1. 48 Categories of COPQ
52. 1.49 Cycle time
53. 1.50 Calculating Cycle time and Takt time

2. Define Phase

1. Six Sigma - Identifying projects
2. 2.1 Voice of business and Voice of Customer
3. 2.2 Voice of the customer process
4. 2.3 Customer input during Project definition
5. 2.4 Collecting Customer data
6. 2.5 Translating customer requirements
7. 2.6 Selecting a Six Sigma project
8. 2.7 Using priority Metrix for project selection
9. 2.8 Selecting an appropriate methodology
10. 2.9 Six Sigma project stakeholders
11. 2.10 Internal and External customer
12. 2.11 Process owners and Project leadership
13. 2.12 Process components
14. 2.13 Using SIPOC diagram
15. Six Sigma: Project Management Basics
16. 2.14 Managing a Project in Six Sigma
17. 2.15 Defining project goals and baseline data
18. 2.16 Creating the problem statement
19. 2.17 Defining project scope
20. 2.18 Purpose and benefits of a communication plan
21. 2.19 Effective project communication
22. 2.20 Six Sigma project planning and monitoring tools
23. 2.21 Using the work breakdown structure
24. 2.22 Planning with Gantt chart
25. 2.23 Using Activity network diagrams to manage projects
26. 2.24 Using Affinity diagrams to understand problems
27. 2.25 Depicting relationships using matrix charts
28. 2.26 Using relation chart to show cause and effect
29. 2.27 Depicting hierarchies using a tree diagram
30. 2.28 Tollgate reviews

3. Measure phase -

1. 3.1 Descriptive and Inferential Statistics
2. 3.2 Introduction to central tendency
3. 3.3 Calculating and Interpreting Mean
4. 3.4 Calculating and Interpreting Median
5. 3.5 Determining and Interpreting Mode
6. 3.6 Introduction to Dispersion
7. 3.7 Calculating and Interpreting Range
8. 3.8 Calculating and Interpreting Standard deviation
9. 3.9 Calculating and Interpreting Variance
10. 3.10 Central tendency and Inferential statistics
11. 3.11 Effects of skewed data and outliers
12. Collecting and classifying data
13. 3.12 Classifying data
14. 3.13 Qualitative and Quantitative data
15. 3.14 Continuous and Discrete data
16. 3.15 Levels of Measurement
17. 3.16 Types of data collection
18. 3.17 Contents of Data collection plan
19. 3.18 Data sources, sampling and frequency
20. 3.19 Data collection best practices
21. 3.20 Avoiding data collection problems
22. 3.21 Using information technology for data collection
23. 3.22 Using surveys for data collection
24. 3.23 Using interviews for data collection
25. 3.24 Using checklists for data collection
26. Six Sigma Measurement System analysis
27. 3.25 Measurement system analysis in Six Sigma
28. 3.26 Precision and Accuracy of the measurement system
29. 3.27 Concepts related to measuring accuracy
30. 3.28 Assessing bias
31. 3.29 Linearity of a measurement system
32. 3.30 Assessing linearity
33. 3.31 Stability of a Measurement system
34. 3.32 Repeatability and Reproducibility
35. 3.33 Gage R & R study
36. 3.34 Gage R & R and Total variation

4. Analyze phase

1. Process analysis tools
2. 4.1 Common Lean tools
3. 4.2 5s for workplace organization
4. 4.3 Value analysis in Six Sigma
5. 4.4 Identifying types of waste
6. 4.5 Value stream analysis
7. 4.6 Introduction to FMEA
8. 4.7 Types of FMEA
9. 4.8 Severity, Opportunity, and Detection
10. 4.9 Using the Risk priority number
11. 4.10 Using FMEA worksheets
12. Data analysis and Root cause analysis
13. 4.11 Variables and Probability distributions
14. 4.12 Introduction to Normal distribution
15. 4.13 Introduction to Bimodal distribution
16. 4.14 Skewed and Bimodal curves
17. 4.15 Common and Special cause variations
18. 4.16 Introduction to Root cause analysis
19. 4.17 5 Why analysis
20. 4.18 Process mapping
21. 4.19 Process map symbols
22. 4.20 Relational Matrix charts
23. 4.21 Force field analysis
24. Correlation, Regression. and Hypothesis testing
25. 4.22 Correlation basics
26. 4.23 Scatter diagram and Correlation analysis
27. 4.24 Correlation coefficient
28. 4.25 Causation and the significance of correlation
29. 4.26 Basics of Regression analysis
30. 4.27 Predicting outcomes with Regression analysis
31. 4.28 Introduction to hypothesis testing
32. 4.29 Null and Alternative hypothesis
33. 4.30 Type I and Type II errors
34. 4.31 One Vs Two-tailed hypothesis tests
35. 4.32 Power of a test
36. 4.33 The P-value for a hypothesis test

5. Improve and Control phases

1. Six Sigma techniques for improvement
2. 5.1 Kaizen and Six Sigma
3. 5.2 Kaizen process
4. 5.3 Conducting a Kaizen blitz
5. 5.4 Applying Kaizen in your organization
6. 5.5 Introduction to PDCA
7. 5.6 Steps in the PDCA cycle
8. 5.7 Six Sigma and Cost-benefit analysis
9. 5.8 Identifying benefits
10. 5.9 Identifying costs
11. 5.10 Conducting a cost-benefit analysis
12. Six Sigma control tools and documentation
13. 5.11 Using Control plans for Six Sigma projects
14. 5.12 Creating a control plan
15. 5.13 Control plan Hand-off
16. 5.14 Statistical process control in Six Sigma
17. 5.15 Introduction to control charts
18. 5.16 Types of control charts
19. 5.17 Choosing a control chart
20. 5.18 Creating an X bar-R chart
21. 5.19 Interpreting data trends in control charts
22. 5.20 Documentation for project control
23. 5.21 Types of control documents

Enroll now - 13hrs FREE Lean Six Sigma Yellow belt training

Best regards

EALSS Academy admin