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 (9)
Trenerka w jasny i usystematyzowany sposób prowadziła zajęcia, będąc przy tym bardzo elastyczną. Posiadała ogromną wiedzę, którą potrafiła się podzielić i cierpliwie tłumaczyła, jeśli pojawiły się jakieś wątpliwości albo kod nie działał. Mam nadzieję, że spotkamy się jeszcze na jakimś kursie :)
Anna - Uniwersytet Jagielloński Collegium Medicum
Course - Introduction to R
dużo ćwiczeń, które bezpośrednio mogę wykorzystać w mojej pracy
Alior Bank S.A.
Course - Sieci Neuronowe w R
Wasn't boring, the trainer could keep the attention, the topics were covered in depth.
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
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
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.