• Lean Six Sigma Green Belt Manufacturing | Online

Earn Your Green Belt Online from the University of Michigan


Learn how to effectively solve problems by integrating Lean and Six Sigma within the DMAIC approach.

This online course will set you up with a structure to systematically frame problems, collect data productively, and implement sustainable solutions. After completing the program—including an improvement project at your organization—you'll earn a University of Michigan Lean Six Sigma Green Belt certification.

Image of DMAIC Problem Solving Wheel
Icon for Six Sigma Green Belt Manufacturing Track

Manufacturing Track

Using examples and case studies, this course focuses on applications primarily drawn from manufacturing companies. Project results include increased throughput, improved equipment utilization, reduced maintenance costs, and more.


Demonstrate your ability to conduct thorough problem-solving analysis toward achieving measurable results with a University of Michigan Lean Six Sigma Green Belt certification.


Learning Objectives

  • Understand variability through the graphical representation of data
  • Describe a process visually through process mapping techniques
  • Apply DMAIC problem solving process toward process improvement at the Green Belt level
  • Interpret test results and draw conclusions based on data
  • Develop recommendations and control plans to improve processes
  • Complete a process improvement project outside of class that demonstrates the application of the full DMAIC methodology

Green Belt Program Overview

Time Commitment and Work Pace

Estimated: 60 self-paced hours

  • 40 hours (approximately) for lecture recordings and exercises
  • 10-30 hours for project work

All requirements must be completed within 180 days after your start date. This is a self-paced online course consisting of 24 lecture modules with 22 exercises (multiple choice tests to complete after each learning module). Most lecture tapes are approximately one hour in length. While the course is self-paced, we recommend completing two sessions/week. If you do not complete the course within one year of your start date, you will be required to re-enroll at a reduced cost of $500.

Module Topics

The following modules are required, and you will also receive access to optional supplemental material.

  1. Continuous Improvement Overview – Integrating Lean and Six Sigma, Classic Forms of Waste, Kaizen
  2. DMAIC Problem Solving Process
  3. DEFINE: Requirements Flow Down, Linking Customers to Business Performance Metrics (VOC/VOB), Project Charters
  4. Process Maps: SIPOC, Swimlane, Process Mapping Diagram
  5. MEASURE: Exploring Data Patterns & Distributions (Run Charts, Histograms, Box Plots), Outliers (Supplement: Course Software Tutorial)
  6. Descriptive Statistics (Sampling, Mean, Median, Variation)
  7. Measuring Current State Capability (Yield, PPM Defective, DPMO)
  8. Rolled Yield Analysis (Types of Yield, Rolled Yield, Normalized Yield)
  9. Process Stability - Overview of Statistical Process Control (Variable and Attribute Control Charts)
  10. Measurement Systems Analysis (MSA)
  11. Value Stream Mapping – Part 1 (Current State Map, Value Add Timeline)
  12. Value Stream Mapping – Part 2 (Value Stream Productivity Analysis, Effective Process Time, Lean Levers: Pitch Interval, Volume/Mix Leveling, and Future State Maps)
  13. ANALYZE: Qualitative Analysis (Affinity, P-Diagram, Cause-Effect Diagram, 5 Whys)
  14. Stratification Analysis (Grouping Variables, Multiple Box Plots)
  15. Check Sheets and Pareto Analysis
  16. Two Group Hypothesis Tests (F-tests, t-tests, 2 proportion tests)
  17. Two-Variable Analysis: Scatter Plot/Linear Regression/Correlation
  18. Hypothesis Test: One Factor ANOVA
  19. IMPROVE: 5S Process, Standardized Work, Training, Error Proofing, Visual Aids, Process Monitoring
  20. Flow Improvements (Push vs. Pull Systems, Little's Law, Batch Size Reduction, Layout Improvement)
  21. Failure Mode and Effects (FMEA) Analysis
  22. CONTROL: Methods of Control
  23. Project Selection and Scoping
  24. Applying the Six Sigma Methodology and Course Summary

Upon successful completion of this 40-hour program, students will receive four Continuing Education Units (CEUs). This course is not for academic credit. CEU credits may not be applied toward a degree. The University of Michigan will provide necessary documentation upon request.

Project Information

Lean Six Sigma DMAIC analysis may be applied to a vast array of process improvement opportunities. Participants are expected to complete a project to practice and apply course concepts.

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Administrative/Online Technical Support

Support staff are available via phone and email to help with administrative and technical issues during our normal business hours (Monday through Friday 8:00 a.m. to 5:00 p.m. Eastern Time). 

Content Questions/Certification Project Support

Candidates are welcome to contact the course instructors for content questions and project support. The instructors will provide support via e-mail, phone consultation, and/or online videoconferencing.

Program Faculty

Patrick Hammett
Patrick Hammett
Lead Faculty, Six Sigma Programs
Lecturer, Integrative Systems + Design
Don Lynch
Don Lynch
Instructor, Nexus
Vice President, SKF USA Inc.
Luis Guzman
Luis Guzman
Lecturer, Industrial & Operations Engineering

Learning By Doing

Our learning approach is to first motivate each process improvement topic around a past process improvement case study. We then present key concepts for this topic and show how it was used in the case study solution. Finally, we reinforce key lessons through exercises and case studies.