Course Outline
Introduction to Six Sigma
- Overview of Six Sigma
- History and background of Six Sigma
- The importance of Six Sigma in business
- Key concepts and terminology
- The Six Sigma hierarchy
Understanding the DMAIC Process
- Overview of DMAIC (Define, Measure, Analyze, Improve, Control)
- The define phase: Identifying the problem
- The measure phase: Collecting relevant data
- The analyze phase: Identifying root causes
- The improve phase: Implementing solutions
- The control phase: Sustaining improvements
Basic Six Sigma Tools and Techniques
- Introduction to basic Six Sigma tools
- Process mapping and flowcharts
- Cause-and-effect diagrams
- Check sheets and data collection techniques
- Pareto charts
- Introduction to Statistical Process Control (SPC)
Role of a White Belt in Six Sigma Projects
- The role and responsibilities of a White Belt
- Collaborating with Green and Black Belts
- Participating in Six Sigma projects
- Identifying opportunities for improvement
Applying Six Sigma in the Workplace
- Understanding the organizational impact of Six Sigma
- Case studies: Successful Six Sigma projects
- Overcoming common challenges in implementing Six Sigma
- Tips for continuous improvement
Summary and Next Steps
Requirements
- Basic understanding of business processes
Audience
- Managers
- Professionals
Testimonials (7)
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
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
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Wasn't boring, the trainer could keep the attention, the topics were covered in depth.
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
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
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.