Six Sigma

Green Belt

Course Code TGS003

Thornley Group Green Belt training is carried out by professional trainers who are experienced as senior management practitioners in both Six-Sigma and Lean Operations. After 2 weeks of training, a written examination and satisfactory review of project material you will receive certification as a Six Sigma Green Belt. Course details are as follows:

Course Duration

• 8 days - 2 x 4 days over 1 to 2 months

Entry Requirements

• Candidates must have a basic working knowledge of algebra and be used to working with numerical data. A familiarity with Computer Spreadsheets is also required.
• Candidates must have prior authorisation to work on a project from their parent organisation and bring details of that project at the beginning of the course. This should be a cost saving, defect reduction or other customer impacting project.

Equipment Needed by Candidates

• A lap-top computer loaded with Minitab software will be required during the course.
• Scientific Calculator.

Course Contents

Our Green Belt training gives an extensive grounding in Six Sigma which covers project set-up, DMAIC and all the associated statistical tools and techniques. Thornley Group Green Belt training is targeted at people who spend a significant amount of time involved in process improvement. This could either be as a process owner or a member of a team working on an improvement project. Being two weeks in duration it offers a greater depth and can be upgraded to a Black Belt certificate with only a further two weeks of training.

Using their practical experience of improvement programmes, along with our simulation exercises, our trainers can take candidates through the process of applying the tools and techniques that they learn.

Week 1

Introduction to Six Sigma
Introduction to the Project Process
Six Sigma Roles and Responsibilities
The DMAIC Improvement Cycle Overview
Team Formation
Team Charter
Establishing Customer Requirements
The Measure Phase
Stakeholder Analysis
Variation and the Normal Distribution
Data Collection
Gauge R&R
Graphical Analysis
Process Capability
Minitab Tutorial
The Analyse Phase
Problem Statements
Identifying Causes
Process Analysis
Data Analysis Overview
Organisation of Causes
Verification of Causes
Hypothesis Testing