15 Topics
5 Days
Programme Overview
Training Description
Who Should Attend
This course is ideal for;
- Certified Lean Six Sigma Green Belts
- Quality Managers and Directors
- Senior Project Managers
- Operations Leaders
- Process Improvement Specialists
- Engineers and Analysts
- Business Consultants
- Change Management Professionals
- Aspiring leaders and executives
- Anyone leading major process improvement initiatives
Session Objectives
- Master the DMAIC methodology at an advanced level
- Lead complex, cross-functional projects
- Apply advanced statistical analysis and software
- Understand the role of the Black Belt as a mentor and leader
- Implement and manage a Lean Six Sigma program
- Utilize advanced Lean tools for flow and efficiency
- Design effective experiments to optimize processes
- Develop robust control plans for long-term sustainability
- Champion and manage organizational change
- Prepare for and pass the Lean Six Sigma Black Belt certification exam
About the Course
Become a master of process improvement and lead strategic initiatives with our Lean Six Sigma Black Belt training. This advanced course goes beyond the fundamentals, preparing you to tackle complex, cross-functional business problems and drive transformational change within your organization. You will gain a deep expertise in the DMAIC methodology, advanced statistical analysis, and change management principles, empowering you to not only identify and solve problems but also to mentor and guide Green Belts and project teams. This training is the ultimate step for any professional serious about elevating their leadership capabilities and making a profound, measurable impact on business performance.
Our curriculum provides an immersive deep dive into the most sophisticated tools and techniques used by top-tier process improvement professionals. You will learn to navigate the intricacies of multi-variable analysis, design of experiments (DOE), and advanced control systems, ensuring that your solutions are robust and sustainable. The course emphasizes both the technical and soft skills required to lead large-scale projects, including stakeholder engagement, team facilitation, and effective communication. By completing this program, you will be equipped to champion a culture of data-driven decision-making, lead with authority, and become a key driver of strategic excellence within your company.
Curriculum & Topics
15 Topics | 5 Days
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Subtopic 1.1:
Review of Lean Six Sigma principles
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Subtopic 1.2:
The role of the Black Belt in the organization
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Subtopic 1.3:
The importance of leadership and project selection
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Subtopic 1.4:
Understanding the Black Belt project lifecycle
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Subtopic 1.5:
Introduction to the different roles in a LSS program
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Subtopic 2.1:
Developing a robust project charter
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Subtopic 2.2:
Advanced stakeholder analysis and management
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Subtopic 2.3:
Creating a detailed business case for a project
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Subtopic 2.4:
Advanced VOC methods and Kano analysis
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Subtopic 2.5:
The importance of project finance and ROI calculation
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Subtopic 3.1:
Advanced measurement system analysis (Gage R&R)
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Subtopic 3.2:
Understanding probability distributions
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Subtopic 3.3:
Hypothesis testing for different data types
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Subtopic 3.4:
Sampling strategies for complex processes
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Subtopic 3.5:
Non-parametric tests for non-normal data
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Subtopic 4.1:
Advanced root cause analysis tools
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Subtopic 4.2:
Multi-variable analysis and correlation matrices
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Subtopic 4.3:
Factorial analysis for identifying key drivers
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Subtopic 4.4:
Understanding sources of variation
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Subtopic 4.5:
The importance of team facilitation in the Analyze phase
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Subtopic 5.1:
Advanced regression analysis
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Subtopic 5.2:
ANOVA for comparing multiple groups
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Subtopic 5.3:
The role of data mining and predictive analytics
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Subtopic 5.4:
Chi-Square tests and contingency tables
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Subtopic 5.5:
Using statistical software for complex analysis
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Subtopic 6.1:
Introduction to Design of Experiments (DOE)
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Subtopic 6.2:
Full and fractional factorial experiments
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Subtopic 6.3:
Creating an experimental design matrix
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Subtopic 6.4:
Analyzing experimental results
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Subtopic 6.5:
Optimizing process parameters using DOE
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Subtopic 7.1:
Advanced Lean concepts and tools
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Subtopic 7.2:
Poka-Yoke and mistake-proofing at scale
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Subtopic 7.3:
Implementing pull systems and Kanban
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Subtopic 7.4:
Cellular and continuous flow manufacturing
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Subtopic 7.5:
The role of technology in process automation
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Subtopic 8.1:
Advanced control charts
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Subtopic 8.2:
Statistical Process Control (SPC) for complex processes
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Subtopic 8.3:
Creating a comprehensive control plan
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Subtopic 8.4:
The importance of audits and reviews
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Subtopic 8.5:
Sustaining the gains of a project
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Subtopic 9.1:
Visual management and performance dashboards
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Subtopic 9.2:
Best practices for project closure
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Subtopic 9.3:
Transitioning the project to operations
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Subtopic 9.4:
The role of documentation and knowledge transfer
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Subtopic 9.5:
Creating a continuous improvement culture
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Subtopic 10.1:
The role of the Black Belt as a change agent
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Subtopic 10.2:
Leading and motivating project teams
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Subtopic 10.3:
Communicating effectively with all levels of an organization
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Subtopic 10.4:
Overcoming resistance to change
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Subtopic 11.1:
The Black Belt's role in mentoring Green Belts
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Subtopic 11.2:
Coaching techniques for improvement projects
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Subtopic 11.3:
Facilitating group problem-solving sessions
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Subtopic 11.4:
Best practices for team development
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Subtopic 11.5:
Building a high-performing project team
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Subtopic 11.6:
N/A
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Subtopic 12.1:
Project management methodologies for LSS projects
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Subtopic 12.2:
Risk management in process improvement
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Subtopic 12.3:
Managing a project portfolio
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Subtopic 12.4:
The role of the project champion and sponsor
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Subtopic 12.5:
Using project management software
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Subtopic 13.1:
Integrating Lean principles into every DMAIC phase
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Subtopic 13.2:
Utilizing Lean tools to accelerate DMAIC projects
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Subtopic 13.3:
The synergy between waste reduction and variation control
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Subtopic 13.4:
Real-world examples of integrated projects
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Subtopic 13.5:
The future of Lean Six Sigma
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Subtopic 14.1:
Creating and analyzing detailed VSMs
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Subtopic 14.2:
Identifying waste and opportunities for improvement
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Subtopic 14.3:
Developing a future state VSM
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Subtopic 14.4:
The role of VSM in strategic planning
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Subtopic 14.5:
Linking VSM to DMAIC projects
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Subtopic 15.1:
In-depth training on statistical software (e.g., Minitab, JMP)
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Subtopic 15.2:
Advanced charting and graphing
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Subtopic 15.3:
Using the software for hypothesis testing and regression
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Subtopic 15.4:
Simulating process changes
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Subtopic 15.5:
Interpreting software output for business decisions
