Six Sigma
Course Overview
This course introduces the Six Sigma methodology, a data-driven approach aimed at improving business processes by reducing defects and variability. Participants will learn the core principles, tools, and techniques used in Six Sigma to enhance quality and efficiency. The course covers the DMAIC framework (Define, Measure, Analyze, Improve, Control) and prepares participants to contribute effectively to process improvement projects.
Course Objectives
By the end of this course, participants will be able to:
- Understand the fundamentals and goals of Six Sigma methodology.
- Apply the DMAIC framework to identify and solve process problems.
- Use key Six Sigma tools for data collection, analysis, and process improvement.
- Interpret statistical data to make informed decisions.
- Implement control measures to sustain improvements.
- Support or lead Six Sigma projects within their organizations.
Who Should Attend
This course is ideal for:
- Quality assurance and process improvement professionals
- Operations managers and supervisors
- Project managers and team leaders
- Engineers and production staff
- Anyone involved in process management and quality improvement
Course Outline
Introduction to Six Sigma
- History and evolution of Six Sigma
- Key concepts: variation, defects, and process capability
- Benefits and business impact of Six Sigma
Six Sigma Methodology and DMAIC Framework
- Overview of DMAIC phases: Define, Measure, Analyze, Improve, Control
- Roles and responsibilities in Six Sigma teams
Define Phase
- Project selection and charter development
- Voice of the Customer (VOC) and Critical to Quality (CTQ) factors
- Process mapping and stakeholder analysis
Measure Phase
- Data collection planning and measurement systems analysis
- Process capability and baseline performance
- Introduction to statistical tools
Analyze Phase
- Root cause analysis techniques (fishbone diagram, 5 Whys)
- Data analysis and hypothesis testing
- Identifying process bottlenecks and sources of variation
Improve Phase
- Generating and selecting improvement solutions
- Design of experiments (DOE) basics
- Pilot testing and implementation strategies
Control Phase
- Control plans and monitoring systems
- Statistical process control (SPC) charts
- Sustaining improvements and continuous improvement culture
Six Sigma Tools and Techniques
- Pareto charts, histograms, scatter plots
- Failure Modes and Effects Analysis (FMEA)
- Lean Six Sigma integration basics