Formation Lean Six Sigma Green Belt certification

Module 1: Introduction and Overview

Setting the objectives of the Green Belt certification training.

Overview of the certification process.

Reviewing the DMAIC methodology fundamentals.

Recap of Six Sigma principles and Lean principles.

Understanding different types of waste.

Recap of "Define" and "Measure" phases from the Yellow Belt scope.

Module 2: Analyze Phase - Analyzing Data

Exploring models of variation: analysis and multi-variance graphs, practical applications, data interpretation.

Statistical inference: central limit theorem, standard error, etc.

Introduction to hypothesis testing: objectives, central tendency concept, types of hypothesis tests.

Hypothesis testing with normal data: sample sizes, various hypothesis tests on means, analysis, etc.

Hypothesis testing with non-normal data: equal variance data, medians, proportion tests, contingency tests.

Module 3: Improve Phase - Process Modeling

Process modeling through regression techniques.

Advanced process modeling.

Linear and non-linear regression. Multiple linear regression (MLR).

Introduction to Design of Experiment (DOE).

Explaining the differences between physical model and DOE.

Understanding One Factor at a Time (OFAT) experimentation and its limitations.

Module 4: Control Phase - Process Control

Recap: Lean tools and control, 5S, Kanban, Poke-Yoke, etc.

Overview of Six Sigma control plan, cost-benefit analysis.

Advanced experimentation: utilizing DOE results for process improvement assessment.

Capacity analysis: process capability, method selection, interpretation.

Defect control: prevention methods, tools, and techniques.

Introduction to Statistical Process Control (SPC).

Describing SPC chart elements and objectives.

Explaining the 9 steps of implementing a control chart methodology.

Module 5: Certification Exam Preparation

Case study implementation of DMAIC phases.

General review sessions for exam preparation.