Overview
This course provides an introduction to Six Sigma methodologies and the DMAIC process (Define, Measure, Analyse, Improve, Control). Learners gain practical insight into data-driven decision-making and process quality improvement.
Aims and Objectives
To provide learners with foundational knowledge of Six Sigma and how to support improvement projects in their workplace.
Course Content
Overview of Six Sigma and Lean integration
The DMAIC framework and project lifecycle
Data collection and basic statistics
Process mapping and analysis tools
Root cause and variation analysis
Improvement strategies and control plans
Learning Outcomes
On completion of this course, learners will be able to:
- Understand the DMAIC process and Six Sigma concepts
- Use simple tools to identify and measure process variation
- Contribute to team-based improvement initiatives
- Support data-driven quality management
