Course Outline
Introduction to Six Sigma and DMAIC
- Overview of Six Sigma principles
- Understanding the DMAIC process
- Roles and responsibilities of a Green Belt
Define Phase
- Project charter development
- Identifying customer requirements
- Problem statement and project objectives
- High-level process mapping (SIPOC)
Measure Phase
- Data collection strategies
- Measurement System Analysis (MSA)
- Basic statistical analysis
- Process capability Analysis
Analyze Phase
- Root cause analysis techniques
- Exploratory data analysis
- Hypothesis testing
- Identifying and verifying causes
Improve Phase
- Generating and selecting solutions
- Design of Experiments (DOE)
- Implementing improvements
- Risk Analysis and mitigation
Control Phase
- Developing control plans
- Statistical Process Control (SPC)
- Documentation and standardization
- Ensuring sustained improvements
Project Management and Soft Skills
- Effective project management for Green Belts
- Communication and leadership skills
- Team dynamics and conflict resolution
- Change management
Green Belt Certification
- Preparing for the Green Belt certification exam
- Tips and best practices
Summary and Next Steps
Requirements
- Knowledge of Six Sigma principles
- Understanding of basic statistics
Audience
- Managers
- Professionals with Yellow Belt certification
Testimonials (5)
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
The flexible and friendly style. Learning exactly what was useful and relevant for me.