Lean Six Sigma Green Belt is an advanced professional certification engineered to train you to lead high-impact process improvement projects using data-driven methodologies. This program moves focusses on reducing process variance, reducing waste (Muda), and solving complex business problems through the structured pproach of the DMAIC framework combined with modern, tech-driven analytical tools.
Delivered Live Online via Microsoft Teams, this course bridges the gap between knowledge and execution by providing a clear, practical framework and post-training coaching.
What Will You Learn?
- Execute the Complete DMAIC Framework: Drive structured, end-to-end continuous improvement projects directly aligned with strategic organizational goals.
- Master Advanced Statistical Data Analysis: Leverage industry-standard software like Minitab and SigmaXL to conduct hypothesis testing, analyze process capability, and control variations.
- Utilize AI for Predictive Data Insights: Learn how to harness modern Artificial Intelligence (AI) tools to accelerate data cleansing, discover hidden root causes, and build predictive analysis models.
- Manage Digital Workflows via dmaic.app: Map, document, and manage your improvement initiatives seamlessly using advanced cloud platforms like dmaic.app.
- Transition from Support to Leadership: Move confidently from simply understanding operational excellence to actively leading cross-functional teams and delivering quantifiable, bottom-line ROI.
Audience
- Operations and process professionals, team leaders, project managers, continuous improvement specialists, and organizations building internal process capability.
Requirements
- Ideal for professionals responsible for process outcomes. Prior exposure to process improvement or Yellow Belt basics is beneficial.
A course by
- Alexandra Niculae
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)
- 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
- Defining a Process, Inputs & Outputs
- Problem Definition and Prioritization (practical exercise)
- Project Selection (practical exercise)
- The 8 Wastes (DOWNTIME) & Sustainable Processes
- 5S Basics
- Critical to Quality (CTQs)
- SIPOC (Suppliers, Inputs, Process, Outputs, Customers) (practical exercise)
- Process Mapping & Value Stream Mapping (Intro)
- Flow and Bottlenecks
- A3 Reports for Problem Framing
Module 2: Measure Phase
- DMAIC Basics (framework overview)
- Introduction to Lean Six Sigma Projects
- Measure Phase of DMAIC
- Failure Mode & Effects Analysis (FMEA)
- Six Sigma Statistics Foundations (Minitab, or SigmaXL)
- Descriptive Statistics & Types of Data
- Operational Definition and Data Collection Plan (practical exercise)
- Normal Distributions & Normality
- Graphical Analysis (Histograms, Box Plots, Run Charts)
- Measurement System Analysis (MSA) Concepts
- Precision & Accuracy
- Bias, Linearity & Stability
- Gage R&R (Variable & Attribute MSA)
- Process Capability
Module 3: Analyze Phase
- Analyze Phase of DMAIC
- – Conceptual Model
- Root Cause Analysis
- Cause & Effect / Fishbone Diagrams (practical exercise)
- Pareto Principle / Pareto Charts
- Scatter Plots and Correlation
- Correlation Coefficients
- Simple Linear Regression & Regression Equations
- Hypothesis Testing (Basics)
- Uses of Hypothesis Testing
- Practical vs. Statistical Significance
- Alpha & Beta Risk, p-values
- Types of Hypothesis Test
- T-Tests
- Designed Experiments (DOE) Introduction
- OFAT vs. Full Factorial Experiments/Designs
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
- Implementation Planning & Change Management
Module 5: Control Phase
- Control Phase of DMAIC
- Control Plans
- Statistical Process Control (SPC) Overview
- Data Collection for SPC
- Types of Control Charts:
- Control Charts for Variable Data
- Control Charts for Attribute Data
- 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