Course : Lean Six Sigma®, Green Belt: Certification

Practical course - 5d - 35h00 - Ref. GLB
Price : 3030 € E.T.

Lean Six Sigma®, Green Belt: Certification



Required course



INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. GLB
  5d - 35h00
3030 € E.T.







Certification
At the end of this course, the trainees will take the exam for IASSC Certified Lean Six Sigma® Green Belt certification.

Practical details
Case studies about different phases of the DMAIC approach.
Teaching methods
Description of concepts, case studies, and preparing for the test.

Course schedule

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.


Customer reviews
4,3 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
MAXIME U.
14/09/26
5 / 5

The course was very well adapted to the specific difficulties encountered by the group, and there was a good balance between theory and practice. Thank you very much, Ludwine!
AISSA M.
14/09/26
5 / 5

Despite the course being intensive and at times complex, our trainer managed the theoretical and practical sections effectively, bringing the course to life. She was always available to answer questions. There were several errors in the course materials which raised questions, wasted time and even led to misunderstandings > these need to be corrected
CHLOE A.
14/09/26
5 / 5

A very good course which requires a sound knowledge of statistics to complete. The subject is wide-ranging and very interesting, and there is a good balance between theory and practice. You can take the course even if your field of work is not focused on quality or project management.



Publication date : 04/15/2024



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.


This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.