The Six Sigma Green Belt Advanced training represents a superior level of preparation, dedicated to professionals who have already completed the fundamentals and wish to deepen their expertise in using the Six Sigma methodology. This module focuses on advanced statistical analysis and the use of complex process optimization techniques.
The course places a major emphasis on the use of statistical software for data interpretation, allowing participants to manage projects with a high degree of complexity. The objective is to transform unpredictable processes into controlled, capable, and highly efficient flows through the rigorous use of the DMAIC structure.
Essential Information:
- Duration: 5 days
- Recommended participants: 5-10
- Level: Advanced / Process Improvement Expert
Target Audience:
- Quality specialists and process management professionals.
- Managers and Directors coordinating operational excellence initiatives.
- Professionals from various sectors (production, commercial, financial, healthcare, IT, logistics).
- Graduates of introductory Six Sigma modules seeking advanced certification.
- Entrepreneurs and Consultants.
- Employees involved in strategic cost and variation reduction projects.
Learning Objectives
At the end of the training, participants will be able to:
- Understand the Six Sigma Methodology, the relationship between Y and X.
- Correctly use Minitab software for advanced data analysis.
- Evaluate measurement systems for continuous and attribute data (MSA).
- Analyze process capability and normality.
- Perform hypothesis testing (T-tests, ANOVA, Chi-Square).
- Identify and quantify relationships between variables through correlation and regression.
- Optimize processes using DOE (Design of Experiments).
- Implement robust control plans to maintain performance.
Course Structure
- Define
- Project Charter and SIPOC (Review)
- VOC and Kano Model
- Measure
- Statistics Review
- Normality Testing
- Advanced MSA (Gage R&R, Attribute Agreement Analysis)
- Process Capability (Cp, Cpk, Pp, Ppk)
- Analyze
- Introduction to Hypothesis Testing
- Tests for Means, Variances, and Proportions
- ANOVA (Analysis of Variance)
- Correlation and Linear Regression
- Improve
- Creative Idea Generation
- Introduction to DOE (Design of Experiments)
- Risk Management through FMEA
- Action Implementation (Pilot Test)
- Verification of Action Effectiveness – Multi-stage Control Chart
- Control
- Introduction to Control
- Control through IMS (Integrated Management System)
- The Control Chart – Role in Prevention
- The Control Plan
- Lessons Learned and Recognition
- Final Considerations
- Review and Testing
Organizational Benefits
- Organizational Efficiency: Significant increase in productivity by eliminating defects.
- Cost Reduction: Substantial savings by reducing variation and reworks.
- Premium Quality: Products and services that consistently exceed customer expectations.
- Fact-Based Decisions: Eliminating intuition and assumptions in favor of rigorous mathematical analysis.
- Increased Competitiveness: The ability to deliver reliable solutions in a dynamic market environment.
- Quality Culture: Developing internal leaders capable of promoting continuous improvement.
We recommend participants have access to a laptop with MINITAB software installed (trial version available). It can be downloaded from the MINITAB website: https://www.minitab.com/en-us/products/minitab/free-trial/
The course will conclude with a multiple-choice examination, and participation statements or graduation certificates will be issued, as applicable.
Please contact us for further information or personalized offers.
Contact
- 📧 Email: george@sanconsulting.ro
- 📞 Phone: +40 723093515
- 🌐 Web: sanconsulting.ro/contact