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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
21 Hours
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.
