Overview

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Build practical Lean Six Sigma Green Belt skills to analyze processes, reduce waste, control variation, and sustain measurable improvements. You’ll begin with Six Sigma principles and the DMAIC methodology, learning to define project scope, capture the Voice of the Customer, create project charters, and apply Lean tools such as 5S, Poka Yoke, SMED, and Kanban. You’ll then strengthen your Measure phase expertise through Measurement System Analysis, descriptive statistics, control charts, process capability indices, hypothesis testing, and regression. As you progress, you’ll use process mapping, root cause analysis, correlation, ANOVA, Design of Experiments, Multi-Vari analysis, and FMEA to identify significant patterns, optimize processes, and mitigate risk. In the Improve and Control phases, you’ll design solutions, conduct pilot testing, implement changes, and establish control mechanisms that preserve process gains. Designed for professionals preparing for Green Belt certification or seeking careers in process excellence, this course combines technical analysis, real-world scenarios, organizational change management, and structured practice and graded quizzes. Enroll to build the analytical and leadership skills needed to guide teams, improve efficiency, and translate Lean Six Sigma methods into measurable business outcomes.

Syllabus

Foundations of Six Sigma and Lean Concepts
- This module introduces learners to the fundamentals of Six Sigma, Lean thinking, and waste reduction. Participants will explore the Define phase, Voice of the Customer (VOC), project charters, and Lean tools such as 5S, Poka Yoke, SMED, and Kanban. By the end of this module, learners will understand how to identify customer needs, outline project scope, and apply Lean methods for improving efficiency.
Measure Phase – Building the Analytical Foundation
- This module emphasizes the Measure phase of Six Sigma, where data accuracy and statistical foundations are established. Learners will explore Measurement System Analysis (MSA), descriptive statistics, control charts, process capability indices, and hypothesis testing. By mastering these tools, learners will be equipped to collect valid data and evaluate process performance with confidence.
Analyze, Improve & Control – Advanced Problem Solving
- This module guides learners through the Analyze, Improve, and Control phases of DMAIC. It covers tools for root cause identification, regression, correlation, ANOVA, DOE, Multi-Vari, FMEA, risk analysis, and process optimization. Learners will also explore solution implementation, pilot testing, and sustaining improvements to achieve long-term process excellence.