Advanced Lean Six Sigma Endorsed Professional
- Select and scope improvement projects from strategic priorities using a project selection matrix and financial benefit estimates.
- Conduct advanced measurement system analysis for continuous and attribute data.
- Apply hypothesis tests, ANOVA and multiple regression to verify critical process inputs.
- Design and analyse full and fractional factorial experiments to optimise process settings.
- Implement lean flow techniques such as takt time, pull systems and line balancing.
- Develop control plans with SPC and response plans and coach teams to sustain gains.
- Leading Improvement Programmes
- Linking project portfolios to strategy
- Project selection, chartering and benefit estimation
- Roles in a Lean Six Sigma deployment
- Advanced Measure Phase
- Measurement system analysis for continuous and attribute data
- Process capability for non-normal data
- Data collection strategies
- Advanced Analysis
- Hypothesis testing and confidence intervals
- ANOVA and multiple regression
- Multi-vari studies
- Design of Experiments
- Full and fractional factorial designs
- Main effects, interactions and optimisation
- Practical DOE planning
- Lean Flow
- Takt time, line balancing and cellular flow
- Pull systems, kanban and SMED
- Advanced value stream design
- Control and Sustainment
- Control plans and SPC
- Mistake proofing and standard work
- Coaching teams and leading change
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Program Professional Framework
Advanced Lean Six Sigma Endorsed Professional
Program Overview
Complex, cross-functional problems require more than basic improvement tools: they need rigorous statistics, strong project leadership and lean flow thinking combined. This advanced programme develops practitioners who can lead high-value DMAIC projects and coach improvement teams. It covers project selection and chartering linked to strategy, advanced measurement system analysis, hypothesis testing, regression and design of experiments, lean flow and pull systems, control plans and statistical process control, and change leadership for sustaining results. Cases include banking operations, healthcare services, manufacturing and oil and gas in the Gulf.
Learning Outcomes
- ✓Select and scope improvement projects from strategic priorities using a project selection matrix and financial benefit estimates.
- ✓Conduct advanced measurement system analysis for continuous and attribute data.
- ✓Apply hypothesis tests, ANOVA and multiple regression to verify critical process inputs.
- ✓Design and analyse full and fractional factorial experiments to optimise process settings.
- ✓Implement lean flow techniques such as takt time, pull systems and line balancing.
- ✓Develop control plans with SPC and response plans and coach teams to sustain gains.
Target Audience
- Lean Six Sigma Green Belts seeking advanced capability
- Continuous improvement and operational excellence managers
- Quality and process engineers
- Transformation programme leads
Detailed Program Modules
01Leading Improvement Programmes
- Linking project portfolios to strategy
- Project selection, chartering and benefit estimation
- Roles in a Lean Six Sigma deployment
02Advanced Measure Phase
- Measurement system analysis for continuous and attribute data
- Process capability for non-normal data
- Data collection strategies
03Advanced Analysis
- Hypothesis testing and confidence intervals
- ANOVA and multiple regression
- Multi-vari studies
04Design of Experiments
- Full and fractional factorial designs
- Main effects, interactions and optimisation
- Practical DOE planning
05Lean Flow
- Takt time, line balancing and cellular flow
- Pull systems, kanban and SMED
- Advanced value stream design
06Control and Sustainment
- Control plans and SPC
- Mistake proofing and standard work
- Coaching teams and leading change
Training Methodology
Applied Project & Assessment
Applied Project
Participants lead an advanced DMAIC project on a real process, using DOE or regression to verify causes, and present a storyboard with validated financial benefits and a control plan to a review panel.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


