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Course Outline
Introduction
- Advanced overview of Six Sigma principles
- In-depth exploration of each DMAIC phase
- Understanding the roles and responsibilities of a Black Belt
Define Phase: Project Definition and Management
- Advanced techniques for defining project scope and objectives
- Stakeholder analysis and communication strategies
- Crafting a robust project charter
Measure Phase: Data Collection and Analysis
- Designing effective data collection strategies
- Measurement System Analysis (MSA)
- Advanced statistical methods for data analysis
Analyze Phase: Identifying Root Causes
- Advanced tools for root cause identification
- Statistical hypothesis testing applications
- Analysis of process behavior
Improve Phase: Solution Development and Implementation
- Design of Experiments (DOE)
- Techniques for solution ideation and selection
- Risk assessment and mitigation within improvement strategies
- Pilot testing and full-scale deployment
Control Phase: Sustaining Improvements
- Creating effective control plans
- Strategies for Statistical Process Control (SPC)
- Maintaining long-term process stability
Advanced Project Management Skills
- Leading complex, multi-faceted projects
- Managing team dynamics and performance
- Optimizing time and resource utilization
Leadership and Change Management
- Leadership competencies essential for Black Belts
- Managing organizational change
- Mentoring Green Belts and team members
Black Belt Certification
- Preparation for the Black Belt certification examination
- Strategic tips and best practices for success
Summary and Next Steps
Requirements
- Green Belt certification
- Practical experience in managing or contributing to process improvement projects
Target Audience
- Senior project managers
- Experienced Six Sigma professionals
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.
