Course Outline
Introduction
- Recap of Six Sigma fundamentals
- Overview of Lean principles and philosophy
- Synergy between Six Sigma and Lean
Advanced DMAIC and Lean Tools
- In-depth study of DMAIC process
- Lean tools for eliminating waste
- Value stream mapping and process flow analysis
- Kaizen and continuous improvement
Statistical Analysis and Data-Driven Decision Making
- Advanced statistical tools in Six Sigma
- Hypothesis testing and regression analysis
- Data collection and analysis techniques
- Introduction to Design of Experiments (DOE)
Process and Quality Improvement Strategies
- Process improvement using Lean Six Sigma
- Quality improvement techniques
- Risk management and mitigation
- Effective problem-solving strategies
Project Management and Leadership Skills
- Project management essentials for Green Belts
- Leadership and change management
- Team dynamics and management
- Communication skills for stakeholder engagement
Lean Six Sigma Project Execution
- Selecting and scoping Lean Six Sigma projects
- Project charter development
- Implementation strategies for Lean Six Sigma projects
- Monitoring and controlling project progress
Case Studies and Real-World Applications
- Analysis of successful Lean Six Sigma projects
- Common challenges and how to overcome them
- Best practices
Summary and Next Steps
Requirements
- Knowledge and experience in Six Sigma methodologies
- Familiarity with Lean concepts, tools, and techniques
Audience
- Managers
- Professionals with Yellow Belt certification
Testimonials (7)
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
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny
Course - Advanced 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
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
Very tailored to needs.