SIX SIGMA CERTIFICATIONS
Lean Six Sigma Green Belt - Manufacturing
Time CommitmentApproximately 60 self-paced hours
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A certificate will be awarded upon successful completion of this course.
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Learn how to effectively solve problems by integrating Lean and Six Sigma within the DMAIC approach. Using case studies and examples primarily drawn from manufacturing companies, the Lean Six Sigma Green Belt-Manufacturing online course will set you up with a structure to systematically frame problems, collect data productively, and implement sustainable solutions.
This course focuses on applications primarily drawn from manufacturing companies. Project results include increased throughput, improved equipment utilization, reduced maintenance costs, and more.
- 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
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
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
- Hypothesis Test: One Factor ANOVA
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
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. 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.
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 recordings are approximately one hour in length. While the course is self-paced, we recommend completing two sessions/week.
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.
Participants pursuing their University of Michigan Lean Six Sigma Green Belt Certification are required to:
- Complete all required online lecture modules
- Complete all testing exercises with an overall cumulative score > 80%
- Successfully complete Green Belt Project (reviewed by U-M faculty)
A basic understanding of statistical analysis methods is recommended, including:
- Basic Microsoft Excel Skills
- Basic Statistics
To view technical requirements, click here.
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.
U-M’s Green Belt Certification courses include a copy of QE Tools statistical analysis software.
QE Tools is a user-friendly Excel add-in tool designed for Lean Six Sigma Green Belts. Students will use QE Tools to apply the various problem solving and statistical analysis methods both within the course and for their Lean Six Sigma project.
Pat Hammett, PhD
- Lead Faculty, Six Sigma Programs
- Associate Chair of Masters Education, Integrative Systems + Design
- Lecturer, College of Engineering
Don Lynch, PhD
- Instructor, Nexus
- Vice President of Quality, Strategy, and Transformation, SKF USA Inc.
- Instructor, Nexus
Luis Guzman, PhD
- Instructor, Nexus
- Lecturer, Industrial & Operations Engineering
Lean Six Sigma - Black Belt - Manufacturing
Effective quality analysis requires finding the right tool for the right problem.
Master Black Belt in Operational Excellence
Gain program management and technical problem-solving skills to be an effective continuous improvement leader.