Earn Your Green Belt Online from the University of Michigan
Demonstrate your ability to conduct thorough problem-solving analysis toward achieving measurable results with a University of Michigan Lean Six Sigma Green Belt certification.
- 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
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.
The following modules are required, and you will also receive access to optional supplemental material.
- Continuous Improvement Overview – Integrating Lean and Six Sigma, Classic Forms of Waste, Kaizen, Lean-Six Sigma in Healthcare
- DMAIC Problem Solving Process
- DEFINE: Requirements Flow Down, Linking Customers to Business Performance Metrics (VOC/VOB), Project Charters
- Process Maps: SIPOC, Swimlane, Process Mapping Diagram
- MEASURE: Exploring Data Patterns & Distributions (Run Charts, Histograms, Box Plots), Outliers (Supplement: Course Software Tutorial)
- Descriptive Statistics (Sampling, Mean, Median, Variation)
- Measuring Current State Capability (Yield, PPM Defective, DPMO)
- Rolled Yield Analysis (Types of Yield, Rolled Yield, Normalized Yield)
- Process Stability - Overview of Statistical Process Control (Variable and Attribute Control Charts)
- Measurement Systems Analysis (MSA)
- Value Stream Mapping – Part 1 (Current State Map, Value Add Timeline)
- Value Stream Mapping – Part 2 (Value Stream Productivity Analysis, Effective Process Time, Lean Levers: Pitch Interval, Volume/Mix Leveling, and Future State Maps)
- ANALYZE: Qualitative Analysis (Affinity, P-Diagram, Cause-Effect Diagram, 5 Whys)
- Stratification Analysis (Grouping Variables, Multiple Box Plots)
- Check Sheets and Pareto Analysis
- Two Group Hypothesis Tests (F-tests, t-tests, 2 proportion tests)
- Two-Variable Analysis: Scatter Plot/Linear Regression/Correlation
- Standardized Work Analysis (Time Observation, Capacity Planning Sheets, Detail Job Instructions, Leadership Standardized Work)
- IMPROVE: 5S Process, Standardized Work, Training, Error Proofing, Visual Aids, Process Monitoring
- Flow Improvements (Push vs. Pull Systems, Little's Law, Batch Size Reduction, Layout Improvement)
- Failure Mode and Effects (FMEA) Analysis
- CONTROL: Methods of Control
- Project Selection and Scoping
- Applying the Six Sigma Methodology and Course Summary
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.
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.
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.