Green Belts provide value within the organization’s Six Sigma initiative in a variety of ways. They serve on Black Belt project teams to help collect and analyze data, develop process maps, assist the Black Belt in certain levels of statistical analysis, and develop experimental designs for a particular project.

These activities serve to both support and accelerate progress in every project—which helps to maximize the organization’s return on its investment, and adds capacity to deliver even greater numbers of breakthrough improvement projects throughout the company

Green Belts can also be assigned specific improvement projects to conduct on their own projects that would not require the statistical rigor demonstrated by the Black Belt. Green Belts are able to conduct these projects within the scope of their normal daily roles.

- Determine critical customer requirements
- Align internal measurements to critical customer requirements
- Use the proven tools and techniques of project management to successfully
- Resource and complete projects on time
- Use the proven tools and techniques of Six Sigma to eliminate non value add process
- Steps and defect drivers
- Identifying good returns from projects

Lecture, Discussion & Case Studies

1. Defining Problem/ Opportunities and Measuring existing process

2. Six Sigma D-M-A-I-C Breakthrough Strategy

- SIPOC & VOC
- Project Definition and Charter
- Process Mapping
- Normal Distribution – Working with Variation
- Variable & Attribute Data

3. Basic Statistics

- Normality Test

4. Graphical Tools and Analysis:

- Cause and Effect Analysis
- Histograms
- Pareto
- Boxplot
- Scatter Plot
- Dotplot
- Run chart
- Timeseries

5. RTY & Cost of Poor Quality

6. Analyse & Improve Phase

7. Statistical Thinking and Control Charts

- Variable Charts – X-Bar R Chart, IMR Chart, X-Bar S Chart
- Attribute Charts – P Chart, NP Chart, C-Chart, U-Chart.

8. Process Capability – Cpk , Ppk, Z value

9. Planning Data Collection

10. Pareto Analysis & 80/20 Principles

11. Measurement System Analysis (MSA)–Variable & Attribute data

- Gage Repeatability & Reproducibility
- Linearity, Stability , Accuracy & Biasness

12. Statistical Tolerancing

13. Improving existing process.

14. Controlling/monitoring process for stability and root cause identification

15. Project Reviews

16. Cause and Effect Analysis

17. FMEA for Six Sigma

18. Estimation and Confidence Intervals

19. Hypothesis Testing and Statistical Significance

- One Sample T-Test
- Two Sample T-test
- Paired T-Test

20. Non Parametric test:

- 1-Sample Wilcoxon
- Mann Whitney Test
- Kruskal Wallis Test
- Friedman Test

21. Analysis of Variance (Anova)

- One Way Anova with many levels
- Two Way Anova with one or many levels

22. Correlation and Simple Linear Regression

23. Determine How Good the Correlation

24. Introduction to Basic DOE

25. Control Phase

26. Error Proofing - POKA YOKE

27. Statistical Process Control

28. Standardized Work and Visual Controls

29. Create the Project Management Plan

Managers, Executives, and Supervisors who wants to:

- Learn this highly valued skill set
- Initiate the Six Sigma methodology to eliminate a current business problem
- Successfully fulfill the future role of a Six Sigma Black Belt