Course Outline
Introduction to Lean Six Sigma
- Overview of Lean and Six Sigma
- History and evolution of Lean Six Sigma
- Key Principles of Lean Six Sigma
- Benefits of implementing Lean Six Sigma
Fundamentals of the Lean Methodology
- The principles of Lean
- Understanding value and waste
- Overview of Lean tools and techniques
- Lean thinking and mindset
Fundamentals of Six Sigma
- The DMAIC framework
- Key Six Sigma concepts
- Basic Six Sigma tools and techniques
- Understanding process capability
Integrating Lean and Six Sigma
- Synergies between Lean and Six Sigma
- Success stories of Lean Six Sigma implementation
- Roles within Lean Six Sigma projects
Problem-Solving with Lean Six Sigma
- Identifying improvement opportunities
- Root cause analysis techniques
- Prioritizing problems and solutions
- Introduction to process mapping
Lean Six Sigma Tools and Techniques
- 5S for workplace organization
- Basics of Kaizen (Continuous Improvement)
- Introduction to value stream mapping
- Overview of basic statistical tools
Implementing Lean Six Sigma Projects
- Selecting a Lean Six Sigma project
- Planning and executing a small-scale project
- Measuring success and impact of projects
Becoming a Lean Six Sigma Yellow Belt
- Responsibilities of a Lean Six Sigma Yellow Belt
- Pathways for further Lean Six Sigma training
- Preparing for Lean Six Sigma Yellow Belt Certification
Summary and Next Steps
Requirements
- Basic understanding of business processes
Audience
- Managers
- Supervisors
Testimonials (8)
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting 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
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.