1

Introduction and reminders

• The Green Belt objectives. The certification process.
• Reminders of the DMAIC process. The Six Sigma fundamentals.
• Reminders of Lean principles. The different types of waste.
• Reminders "Define" and "Measure" phases of the the Yellow Belt perimeter.

2

The "Analyze" phase

• The variation models: analysis and multi-variances graph, application cases, interpretation of analytical data.
• Statistical inference: central limit theorem, standard error, ...
• Hypothesis testing introduction : objectives, concept of central tendency, types of hypothesis testing, ...
• Hypothesis testing with normal data: sample size, various hypothesis tests on averages, analysis, ...
• Hypothesis testing with non-normal data: equal variance data, medians, proportions tests, contingency.

3

The "Improve" phase

• Regression modeling process.
• Advanced process modeling.
• Linear and non-linear regression. Multiple linear regression (MLR).
• Introduction to the experience design.
• How to describe the differences between the physical model and experimental design(DOE: Design Of Experiment).
• Explaining OFAT experimentation and weaknesses.

4

The "Control" phase

• Reminders: Control and Lean tools, 5S, Kanban, Poke-Yoke, ...
• Reminders: Control Plan Six Sigma, cost-benefit analysis, ...
• Advanced experimentation: using the results of a DOE to determine the degree of improvement of the process, ...
• Capacity analysis: the ability of the process, selecting the method of analysis, interpretation, ...
• Defect control: prevention methods, tools and techniques, ...
• SPC presentation : Statistical Process Control.
• To describe the SPC chart elements and SPC chart objectivest.
• To describe the 9 steps of the methodology implementation of a control board.