Six Sigma Green Belt training course
Originally developed in 1986 by Motorola, Six Sigma is a set of tools and strategies that improve process management. Such as the DMAIC – Define Measure Analyse Improve and Control – model, which is the foundation of Six Sigma.
Green Belt is the first rung on the Six Sigma ladder and you will be working with Black Belt specialists – assisting with data collection and analysis.
This course will examine how Six Sigma and Lean help organisations achieve their strategic goals and why so many successful organisations attribute their success to them.
This training course is aligned to the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation.
Print this page0800 0141 311 or 01273 907 919
0800 0141 311 or
01273 907 919
Quick course guide
This course is ideal for:
Process Managers
Quality Assurance Managers
Project Managers
Production Managers
Prerequisites for this course
There are no prerequisites for this course however, experience with the Six Sigma environment is recommended.
What you'll learn
Reduce variation to improve quality
Define problems
Analyse data and processes
Improve processes
Use Six Sigma analysis tools and metrics for project decisions
Classify, collect, summarise and present data in Six Sigma
Measure process capability and performance in Six Sigma
Included
Simulated interactive training
Practise examination questions
Self-paced study format
Six Sigma Green Belt (SSGB)
- Six Sigma and lean in the organisation
- Design for Six Sigma in the organisation
- Processes and customer analysis in Six Sigma projects
- Basics of Six Sigma projects and teams
- Tools for planning and managing Six Sigma project opportunities
- Using Six Sigma analysis tools and metrics for project decisions
- Modelling and analysing processes in Six Sigma
- Statistics and probability in Six Sigma
- Data classification and collection in Six Sigma
- Summarising and presenting data in Six Sigma
- Probability distributions and measurement systems analysis in Six Sigma
- Measuring process capability and performance in Six Sigma
- Exploratory data analysis in Six Sigma
- Introduction to hypothesis testing and testing for means in Six Sigma
- Hypothesis tests for Variances, Proportions, Anova, and Chi-Square in Six Sigma
- Design of experiments and validation of solutions in Six Sigma
- Statistical process control and control plans in Six Sigma
- Using basic control charts in Six Sigma
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