The IASSC Certified Lean Six Sigma Green Belt™ (ICGB™) is a professional who is well versed in the core to advanced elements of Lean Six Sigma Methodology, who leads improvement projects and / or serves as a team member as a part of more complex improvement projects lead by a Certified Black Belt, typically in a part-time role. A Lean Six Sigma Green Belt possesses a thorough understanding of all aspects of the Lean Six Sigma Method including competence in subject matters contained within the phases of Define, Measure, Analyse, Improve and Control (DMAIC) as defined by the IASSC Lean Six Sigma Green Belt Body of Knowledge™. A Lean Six Sigma Green Belt understands how to implement, perform, interpret, and apply Lean Six Sigma at a high level of proficiency.

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An understanding of Lean processes would be an advantage, but not required.

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Delegates will learn how to

On this course you will learn how to:
  • Structure a DMAIC process improvement project.
  • Define a problem, investigate its impact on the customer and identify the process within which it exists.
  • Identify the elements of Cost of Poor quality and waste in a process and measure project financial and operational benefits.
  • Structure and assess a measurement system and identify the appropriate metrics to support quantitative process improvement efforts.
  • Understand root cause analysis and value analysis methods.
  • Describe a process using different process mapping strategies.
  • Communicate with key stakeholders and drive change in the organisation.
  • Use descriptive statistics (numerical and graphical) to summarise process data.
  • Understand and use the most common distributions for continuous and discrete data.
  • Use inferential statistics to assess statistical significance to validate root causes and confirm process improvements.
  • Use regression to model process behaviour and predict future performance.
  • Use many of the common process improvement tools such as 5S, KANBAN and Poka-Yoke
  • Sustain the gains with a Control and Response plan.
  • Monitor process stability using various types of Control Charts.
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Day 1

  • The Basics of Six Sigma
  • The Fundamentals of Six Sigma
  • Selecting Lean Six Sigma Projects

Day 2

  • The Lean Enterprise
  • Process Definition

Day 3

  • Six Sigma Statistics
  • Measurement System Analysis
  • Process Capability
  • Patterns of variation

Day 4

  • Inferential statistics
  • Hypothesis testing with Normal data: Parametric tests

Day 5

  • Hypothesis testing with Non-normal data: Non-parametric tests
  • Hypothesis testing with Non-normal data: Tests for proportions
  • Regression analysis
  • Lean Controls
  • Six Sigma Control Plans

Day 6

  • Statistical Process control
  • Case Study
  • Practical Process Capability and MSA with Minitab
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