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 (8)
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
Very tailored to needs.
Yashan Wang
Course - Data Mining with 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
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.
Victor Prado - Global Knowledge Network Training Ltd
Course - R
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.