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Course Outline
Foundations of Six Sigma and the DMAIC Framework
- Core principles of Six Sigma
- In-depth exploration of the DMAIC process
- Specific roles and responsibilities of Green Belt practitioners
The Define Phase
- Creating comprehensive project charters
- Mapping and identifying critical customer requirements
- Crafting clear problem statements and setting project objectives
- Developing high-level process maps using the SIPOC model
The Measure Phase
- Designing effective data collection strategies
- Conducting Measurement System Analysis (MSA)
- Applying fundamental statistical analysis methods
- Evaluating process capability
The Analyze Phase
- Utilizing various root cause analysis techniques
- Performing exploratory data analysis
- Applying hypothesis testing
- Identifying and validating underlying causes
The Improve Phase
- Generating and selecting optimal solutions
- Applying Design of Experiments (DOE) principles
- Executing selected improvements
- Conducting risk analysis and developing mitigation strategies
The Control Phase
- Formulating robust control plans
- Implementing Statistical Process Control (SPC)
- Standardizing processes and maintaining thorough documentation
- Sustaining long-term improvements
Project Management and Interpersonal Skills
- Effective project management techniques for Green Belts
- Enhancing communication and leadership capabilities
- Navigating team dynamics and resolving conflicts
- Implementing change management strategies
Preparing for Green Belt Certification
- Strategies for the Green Belt certification examination
- Best practices and expert tips
Course Summary and Future Pathways
Requirements
- Familiarity with foundational Six Sigma concepts
- A basic understanding of statistical principles
Target Audience
- Managers seeking process improvement expertise
- Professionals already holding a Six Sigma Yellow Belt certification
21 Hours
Testimonials (4)
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The variation with exercise and showing.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
The real life applications using Statcan and CER as examples.
