Lean Six Sigma Green Belt

Lean Six Sigma is a rigorous and disciplined methodology that uses organisational data and statistical analysis to measure and improve the performance of an organisation’s business processes. The objectives are to eliminate waste, defects, rework and mistakes, increase customer satisfaction, and increase profitability and competitiveness.

This public 4-day course on Lean Six Sigma, part of our training series on Business Process Management, provides a comprehensive coverage of the Six Sigma DMAIC approach (Define, Measure, Analyse, Improve and Control) while incorporating the principles of Lean Management. Hands-on case studies will provide course participants with direct exposure to common process issues that can be fixed through the application of the DMAIC approach. Various statistical analysis techniques will be presented throughout the course and put in practice via supervised exercises.

The course content is aligned with the Universally Accepted Lean Six Sigma Body of Knowledge for Green Belts, developed by the International Association for Six Sigma Certification (www.iassc.org).

As part of our course, we will illustrate the structure of this exam and provide material to assist in studying for the exam. You will need to integrate the content presented in the course with the material provided, and study this thoroughly in your own time, in order to pass the exam. At the end of the course, participants will receive instructions on how to prepare for the certification exam based on this body of knowledge. The certification exam incurs an extra fee and it is not administered by QUT.

Topics covered include:

Day 1

  • Business Process Improvement
  • The Data Driven Approach
  • The Basics of Lean and Six Sigma
  • Combining Lean and Six Sigma
  • The DMAIC Roadmap
  • ‘Define’ – Definition of core processes
  • ‘Measure’ – Measurement of relevant processes and quality criteria

Day 2

  • ‘Measure’ – Measurement of relevant processes and quality criteria
  • Process Discovery
  • Six Sigma Statistics
  • Measurement System Analysis (MSA)
  • Process Capability
  • ‘Analysis’ – Problem analysis with process analysis tools and techniques
  • “X” Sifting
  • Graphical Analysis: Pareto Analysis and Multi-Vari Chart
  • Inferential Statistics
  • Introduction to Hypothesis Testing
  • Hypothesis Testing Variable Data (Normal Data)

Day 3

  • Hypothesis Testing Variable (Non-Normal Data)
  • Hypothesis Testing Attribute Data
  • ‘Improvement’ – Searching for process solutions
  • Evaluating Improvement Ideas
  • Process Modelling (Correlation & Regression)
  • Design of Experiment

Day 4

  • ‘Controlling’ – Development and implementation of process monitoring
  • Statistical Process Control (Variable & Attribute Data)
  • Six Sigma Control Plans
  • Reasons behind project failure
  • 12 keys to Lean Six Sigma success
  • Lean Six Sigma Roles & Responsibilities
  • Barriers to Lean Six Sigma
  • Course Material & References
  • General Recap
  • How to prepare for the IASSC certification exam

Duration: 4 days

Course Agenda