Description

This training will allow you to consolidate your knowledge of the Lean Six Sigma method. You acquire the necessary knowledge to lead an improvement project independently within your company. You will also be prepared to pass the IASSC Lean Six Sigma Green Belt certification.

Who is this training for ?

For whom ?

Professionals who wish to consolidate their knowledge of Lean Six Sigma® and become an actor in improvement projects based on Lean Six Sigma.

Prerequisites

It is recommended to have completed the Lean Six Sigma Yellow Belt course or to have equivalent knowledge.

Training objectives

Analyze the data collected, extract relevant variables and manipulate hypothesis tests.

Design simple experimental plans to collect data.

Master process modeling and detect correlations between variables.

Pass the Lean Six Sigma Green Belt certification.

Training program

• Introduction and reminders
  • The objectives of the Green Belt. The certification process.
  • Reminders of the DMAIC approach. The fundamentals of Six Sigma.
  • Reminders of the Lean principles. The different types of waste.
  • Reminders of the
• La phase "Analyze" - Analyser
  • Variation models: multi-variance analysis and graph, application cases, interpretation of analysis data.
  • Statistical inference: central limit theorem, standard error...
  • Introduction to hypothesis testing: objectives, concept of central tendency, types of hypothesis testing...
  • Hypothesis testing with normal data: sample sizes, hypothesis testing 'varied hypotheses on means, analysis...
  • Hypothesis testing with non-normal data: equal variance data, medians, proportion tests, contingency.
• The “Improve” phase – Improve
  • Process modeling by regression.
  • Advanced process modeling.
  • Linear and non-linear regression.
  • Multiple linear regression (MLR ).
  • Introduction to the design of experiment.
  • Describe the differences between the physical model and a design of experiment (DOE: Design Of Experiment).
  • Explain an OFAT experiment and its weaknesses.
• The “Control” phase – Control
  • Reminders: Lean control and tools, 5S, Kanban, Poke-Yoke...
  • Reminders: Six Sigma control plan, cost-benefit analysis...
  • Advanced experimentation: using the results of a DOE to determine the degree of process improvement.
  • Capacity analysis: process capacity, selection of analysis method, interpretation...
  • Fault control: prevention methods, tools and techniques...
  • Presentation of SPC: Statistical Process Control.
  • Describe the elements of an SPC graph and the objectives of the SPC graph.
  • Describe the 9 steps of the methodology for implementing a control chart.
• Preparing for and taking the certification exam
  • Case study implementing the phases of the DMAIC.
  • General revisions.
  • Taking the exam: 100 questions, 3 hours.