Course Objective
Gain an understanding of the Six Sigma DMAIC problem solving methodology.
Develop Six Sigma culture by deploying the DMAIC methodology in their daily work.
Successfully complete and manage improvement projects in their respective areas.
Guide Green Belts and support Master Black Belts on high impact cross -functional projects.
Interact with all levels of an organization.
Benefits of attending this course
The Six Sigma Black Belt Training course introduces advance tools like Design of Experiments, Cycle Time reduction and JIT. The delegates are trained to develop holistic Business Quality and customer satisfaction while sustaining the business performance improvement. Companies will benefit by having knowledgeable and trained Black Belt personnel who can facilitate the rapid development of their quality system and in the improvement of business performance.
The training will be conducted using iCT-M ® software. The delegates will have the benefit of using the software free for 30 days.
Who should attend?
Technicians and engineers from both the service and manufacturing sectors will be ideal candidate for this training. Experienced problem solvers, anyone leading a team using the DMAIC methodology and advanced statistical tools, Project Managers leading improvement projects and programs will greatly benefit from this course. Personnel acting as a facilitator or coach for improvement activities, individuals interested in furthering a career in Business Improvement and Process Excellence will find this most suitable for them. Green Belts wishing to become certified Black Belts will find this course naturally designed for them.
Brief course outline:
20 days training; 10 days of Green Belt training is a prerequisite.
2 x 5 days training, with 3 – 4 weeks apart.
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Week 3 (5 days) |
- Attribute Measurements
- Attribute Measurement Systems
- Managing Change
- Project Planning & Deliverables
- Class room hands on DOE Project
- Project Reviews Measurement
- Box Plot
- Voice of the Customer
- Regression Analysis
- SMED
- Robust Design
- Just In Time
- Confidence intervals on mean
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Confidence intervals on proportion
Goodness of fit tests
Linearity Analysis
Measurement System Analysis
Customer Complaints Management
Cycle Time
Benchmarking
Trend Chart
Objectives
Lean Methods
Regression Analysis
T-test
ANOVA
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Week 4 (5 days) |
- Design Of Experiments
- Multi Variate Analysis
- Principle Component Analysis
- Systems Diagrams
- Corrective Action Matrix
- Monte Carlo simulation
- Distributions – normal, binomial, Poisson etc
- Customer Satisfaction
- Assessing The Results of Process Improvement
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- Documenting the Process
- Control Plan Methodology
- Dynamic Control Plan Methodology
- Data - Transformations
- Non-Normal Data in Experiments
- Classroom exam
- Project Reviews
- Project requirement
- Overview and Wrap-Up
- Groundwork for project
- Discussion
- Conclusion
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