IASSC Certified Lean Six Sigma Green Belt (ICGB) Training in France

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

• 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.

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