Six Sigma Black Belt



Black belts are the cheif change agents to the six sigma program. Qualimation will support you with strategies that are needed for the change. With Six-Sigma implenenation you will be able to witness a cultural change in the organisation. Using DMAIC you will be guided by Qualimation to raise the game in your organisation. The Black belts have to coordinate the complete implementation of six sigma in all their respective areas, as well as support the management in developing long and short term strategies. There will be intense statistical training and these include problem solving, statistical modelling, regression, data analysis, Reliability Engineering, hypothesis testing, process capability analysis, analysis of variance and design of experiments, failure mode and effects analysis, and statistical process control.

After completing this course, you should be able to implement company wide six sigma program

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Understand clearly the fundamentals of Advanced Quality planning
Effectively use the DMAIC improvement process
Select successful Deep Analysis projects and project teams
Planning and execute long and short term quality plans for the company.
Intergrate all areas of business and support company objectives
Guide green belts in all their Quality Functions.
How to Measure ROI on Six Sigma Projects
Become an internal consultant
Influence the management in correct decision making
Employ Six Sigma skills to lead a successful development project
Delivering meaningful results to the organization.

3 Days
2 Days
Origin of continious improvement and impact on improvement models
Lean and integration with six sigma
Project Selection Process
Six Sigma Deployment
Process Mapping
Leadership roles and responsibilities of black belts
Techniques for facilitating and managining organisational change
Benchmarking and best practices
Collection/Classification/ Tabulation/ Analysis and Inference of Data
Advanced Graphical Analysis
Multi-Vari charts
Variation analysis
Hypothesis Testing
Gap Analysis and Route couse analysis
Statistical Analysis
Performance Analysis, measure the effect of change?
Measurement System Analysis
Quality Characterstics and Process Capability
Controlling and eliminating Defects
Statistical Process Control
The relation between Process flow - FMEA -Control Plan
Project Plan & Deliverable
1 Project analysis and review

Analysis of variance
Data Analytics: Correlation and Regression
Multi-Vari Analysis
Process Control Plan
Project Plan & Deliverable
Project Reviews
2 Days 2Days
Week 1 and 2 Review Project
Distribution analysis
Advanced Multi-Vari
Statistical vs practical significance
Attribute Measurement Systems
Point and Interval extimates
Acceptable Quality Levels
Managing Change
Quality Function Deployment
Quality Function Deployment
Multi Factor Experiments
General Factorial Experiments
Six Sigma Residual Analysis
Non-Normal Data - Analysis
Sequential Experimentation
Response Optimization Designs
Multiple Response Optimization
Transactional Improvements
Introduction to DOE
Full Factorial Experiments
Reliability and Fault Tree Analysis
Taguchi Methods
DOE Project
Project Planning & Deliverables
Project Reviews Measurement
Class Project
How to Measure ROI on Six Sigma Projects
Simulations for Improvement
Applied Experimentation
Mistake Proofing
Control Methods
Project Closure and Synergy
Policy Deployment
Warranty Data Analysis
Project Reviews
Final Exam


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