About Course
Lean Six Sigma Black Belt is an advanced program that prepares professionals to lead complex process improvement projects and drive measurable business impact across the organization. It focuses on using data, advanced analytics, and structured methods to deliver sustainable results.
Delivered Live Online via Microsoft Teams, this course builds internal capability to lead, scale, and sustain process improvement effectively while providing dedicated post-training coaching.
What Will You Learn?
- Lead End-to-End Lean Six Sigma Projects: Drive cross-functional improvement initiatives across departments that align with corporate strategy.
- Apply Advanced Statistical Analysis: Solve complex, multi-variable business problems using advanced statistical modeling and hypothesis testing.
- Drive Alignment & Manage Change: Align stakeholders throughout improvement projects and manage organizational transformation.
- Mentor & Develop Green Belt Practitioners: Support, guide, and develop internal improvement talent.
- Deliver Sustainable Business Impact: Implement robust control structures to sustain long-term ROI and sustain the results.
Audience
- Process improvement leaders, operations managers, transformation managers, and specialists responsible for strategic improvement initiatives.
Requirements
- Designed for professionals expected to lead complex, cross-functional projects and mentor Green Belts. Prior knowledge of process improvement fundamentals or Green Belt completion is recommended.
A course by
- Alexandra Niculae
Next course dates
- November 16 – 20, 2026 training + November 23, 2026
Material Includes
- Official ILSSI Accredited Learner Workbook & Reference Guide
- Live Online Interactive Training via Microsoft Teams
- Advanced Statistical Data Analysis Tools (templates for statistical analysis)
- Post-Training Project Coaching & Mentorship Support
- Official ILSSI Examination Voucher (Includes 1 Free Retake)
Digital Certificate of Completion upon passing
- Live Online Interactive Training via Microsoft Teams
- Advanced Statistical Data Analysis Tools (templates for statistical analysis)
- Official ILSSI Examination Voucher (Includes 1 Free Retake)
- Digital Certificate of Completion upon passing
Course Content
Module 1: Define Phase
- Fundamentals of Process Improvement
- General History of Lean Six Sigma
- Principles of Lean and Six Sigma
- Voice of the Customer (VOC) & Business
- Lean Six Sigma Belt Roles and Responsibilities of a Black Belt
- Portfolio Management / Programme Management
- Defining a Process, Inputs and Outputs
- The 8 Elements of Waste (DOWNTIME)
- Sustainable Processes
- 5S
- Critical to Quality (CTQs)
- SIPOC
- Process Mapping & Value Stream Mapping
- A3 Reports
- Lean Six Sigma Projects (project selection) – practical exercise
Module 2: Measure Phase
- Measure Phase of DMAIC
- Failure Mode & Effects Analysis (FMEA)
- Six Sigma Statistics (Intro to measurement data)
- Descriptive Statistics
- Different Types of Data
- Normal Distributions & Normality
- Central Limit Theorem
- Standard Error of the Mean
- Sampling Techniques & Sample Size Calculation
- Confidence & Prediction Intervals
- Graphical Analysis (Histograms, Box Plots, Run Charts)
- Measurement System Analysis (MSA)
- Precision & Accuracy, Bias, Linearity & Stability
- Gage Repeatability & Reproducibility (Variable & Attribute MSA)
- Process Capability Analysis (, , , )
- Long-Term vs Short-Term Variation- Use of Excel, Minitab, SigmaXL, or other statistical software
Module 3: Analyze Phase
- Analyze Phase of DMAIC
- Root Cause Analysis & Cause & Effect / Fishbone Diagrams
- Pareto Principle / Pareto Charts
- Concept
- Scatter Plots and Correlation & Correlation Coefficients
- Simple Linear Regression & Regression Equations
- Multiple Linear Regression & Non-Linear Regression
- Hypothesis Testing (Basics, Uses, Practical vs. Statistical Significance)
- Alpha & Beta Risk, p-values
- Types of Hypothesis Test:
- T-Tests
- Hypothesis Testing with Attribute Data
- One and Two Sample Proportion Tests
- Chi-Squared Tests (Contingency Tables)
- Inferential Statistics
Module 4: Improve Phase
- Improve Phase of DMAIC
- Kaizen and Kaizen Events & PDCA Cycle in Practice
- Lean Tools for Improvement:
- Single-Piece Flow
- Poka-Yoke (Mistake Proofing)
- SMED (Quick Changeover)
- Pull Systems & Just-In-Time
- Kanban (basic)
- Visual Management
- Standardized Work
- Designed Experiments (DOE):
- OFAT
- Full Factorial Experiments / Designs
- Fractional Factorial / Screening Experiments
- DOE Design Choices
- Binomial and Poisson Distributions (applications in defect counts)
- Implementation Plans
- Design for Six Sigma (DFSS)
- Implementation Planning & Change Management
Module 5: Control Phase
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- Control Phase of DMAIC & Control Plans
- Statistical Process Control (SPC) Overview & Data Collection for SPC
- Types of Control Charts:
- I-MR
- X-bar R & X-bar S
- N Chart, P Chart, U Chart, C Chart
- Tests for Special Cause Variation
- Process Capability for the Improved Process & Comparison Before-After Capability Analysis
- Sustaining Gains:
- Standard Work for Leaders
- Visual Management for Control
- Embedding Kaizen Culture & Review of Fake Lean vs. Real Lean (leadership responsibility)
- Course Recap & Integration: Linking DMAIC + Lean Thinking