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Course Outline
Introduction
- Review of core Six Sigma fundamentals
- Examination of Lean principles and underlying philosophy
- Exploring the synergy between Six Sigma and Lean approaches
Advanced DMAIC and Lean Tools
- Detailed analysis of the DMAIC process framework
- Utilizing Lean tools to systematically eliminate waste
- Performing value stream mapping and process flow analysis
- Implementing Kaizen and continuous improvement strategies
Statistical Analysis and Data-Driven Decision Making
- Mastery of advanced statistical tools within Six Sigma
- Conducting hypothesis testing and regression analysis
- Refining data collection and analysis techniques
- Fundamentals of Design of Experiments (DOE)
Process and Quality Improvement Strategies
- Driving process improvement through Lean Six Sigma integration
- Applying specialized quality improvement techniques
- Managing and mitigating operational risks
- Employing effective problem-solving methodologies
Project Management and Leadership Skills
- Essential project management concepts for Green Belts
- Navigating leadership and change management
- Fostering positive team dynamics and management
- Enhancing communication skills for effective stakeholder engagement
Lean Six Sigma Project Execution
- Strategic selection and scoping of Lean Six Sigma initiatives
- Developing robust project charters
- Executing implementation strategies for Lean Six Sigma projects
- Monitoring progress and controlling project variables
Case Studies and Real-World Applications
- Deconstructing successful Lean Six Sigma projects
- Identifying common challenges and effective countermeasures
- Adopting industry best practices
Summary and Next Steps
Requirements
- Existing knowledge and practical experience with Six Sigma methodologies
- Working familiarity with Lean concepts, tools, and techniques
Target Audience
- Managers
- Professionals holding 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.
