Overview

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Master the complete Lean Six Sigma improvement cycle and learn to align process excellence with organizational goals. You’ll progress through the DMAIC phases—Define, Measure, Analyze, Improve, and Control—to frame business problems, map processes, collect reliable data, validate root causes, test solutions, and sustain results. You’ll apply Lean Six Sigma tools including SIPOC, Balanced Scorecard, Voice of the Customer (VOC), C&E Matrix, Pugh Matrix, Affinity Diagrams, Pareto Charts, descriptive statistics, Measurement System Analysis (MSA), control charts, Design of Experiments (DOE), and pilot studies. Practical exercises and case studies help you connect each framework to real business decisions. Designed for Lean Six Sigma champions and business leaders, this course also extends beyond DMAIC. You’ll learn to recognize and prioritize new project opportunities, apply Lean management principles, use Design for Six Sigma (DFSS) and DMADV to design efficient processes, and develop change management strategies that engage stakeholders. Its distinctive combination of statistical analysis, strategic tools, process improvement, and leadership applications prepares you to guide data-driven projects, align them with business priorities, and embed continuous improvement into organizational culture. Enroll to build a structured, practical approach to delivering measurable and sustainable process improvements.

Syllabus

Foundations of Lean Six Sigma
- This module introduces learners to the fundamentals of Lean Six Sigma, including its purpose, methodologies, and integration of Lean and Six Sigma principles. It covers the Define phase and essential strategy tools such as the Balanced Scorecard and Cause-and-Effect matrices. Learners gain a clear understanding of how Lean Six Sigma projects are structured and the role of champions and leaders in driving quality improvements.
Advanced Define Tools & Process Mapping
- This module explores advanced decision-making and process mapping tools used in the Define and Measure phases. Learners practice applying frameworks such as Pugh Matrix, Affinity Diagrams, Pareto Charts, and SIPOC mapping. The module also introduces foundational measurement concepts including data types, populations, and samples to prepare learners for statistical analysis in later phases.
Measure Phase – Data Analysis
- This module develops statistical literacy for Lean Six Sigma projects, focusing on descriptive statistics and measurement tools. Learners explore measures of central tendency, spread, and distribution shapes to understand process performance. Case studies, data collection planning, and MSA (Measurement System Analysis) provide real-world applications. The module concludes with an introduction to the Analyze phase, linking measurement insights to root cause identification.
Analyze & Improve Phases
- This module focuses on the Analyze and Improve phases of DMAIC. Learners validate root causes with statistical tools and prioritize the most critical factors. In the Improve phase, learners design, test, and refine solutions through methods such as DOE (Design of Experiments) and pilot studies. Emphasis is placed on iterative refinement, customer validation, and preparing improvements for long-term sustainability.
Control, Recognize & Business Applications
- This module covers the final DMAIC stage (Control), ensuring improvements are sustained through monitoring and standardization. Learners explore the Recognize phase for identifying new project opportunities, and study Lean Management principles for efficiency. The module introduces DFSS (Design for Six Sigma) with the DMADV methodology and concludes with Change Management strategies to embed continuous improvement into organizational culture.