• Lean Six Sigma Green Belt - Blended

Earn Your Green Belt From the University of Michigan

Learn how to effectively problem solve by integrating Lean and Six Sigma within the DMAIC (Define, Measure, Analyze, Improve, Control) approach. You'll increase your ability to identify and frame problems; continuously improve quality, cost, and delivery/time; and sustain your improvements.


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 skill level
  • Interpret test results and draw conclusions based on data
  • Develop recommendations and control plans to improve processes
  • Demonstrate understanding of the DMAIC methodology through the completion of a process improvement project outside of class 

Green Belt Program Overview

Day 1: Continuous Improvement Overview and Define Phase
  • Integrating Lean-Six Sigma/DMAIC Process
  • Overview of DMAIC Problem Solving Process
  • Linking Metrics to VOC (voice of the customer) and VOB (voice of the business)
  • Identifying Classic Forms of Waste
  • Define Phase and Creating Effective Project Charters
  • Process Mapping: SIPOC, Swim lane, Process Mapping Diagram
Day 2: Measure Phase
  • Basic Graphical Tools and Descriptive Statistics
  • Measuring Current State: Exploring and Understanding Data Patterns
  • Basic Data Collection, Sampling, and Graphical Analysis Tools: Run Chart, Histogram, Box Plot
  • Rolled Yield with Hands-on Exercise
Day 3: Analyze Phase
  • Value Stream Mapping
  • Qualitative and Quantitative Process Analysis
  • Stratification Analysis: Grouping Variables, Bar/Pie Charts Pareto Analysis and Drill Down, Multiple Box Plots, Scatter Plot
  • Check Sheets and Pareto Analysis
Day 4: Improve Phase
  • Introduction to Hypothesis Testing
  • Lean-Six Sigma Process Improvement Simulation
  • Lean-Six Sigma Improvement Countermeasures
  • Standardized Work, Mistake Proofing, Visual Aids
  • Process Flow Improvement: Little's Law, Batch Reduction/One Piece Flow
  • Setup Reduction
  • Simple Pull Systems
  • Simplified Process/Cell Layout
  • Volume/Mix Leveling and Takt Time
Day 5: Control Phase, DMAIC Review, and Executing a DMAIC Project
  • Methods of Control
  • Conducting a Kaizen Improvement Event/Project Management
  • DMAIC Gate Review Process
  • Small Group Case Study Exercise (Applying DMAIC process)
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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Program Faculty

Patrick Hammett
Patrick Hammett
Director of Faculty Innovation
Lead Faculty, Six Sigma Programs
Lecturer, Integrative Systems + Design
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Yavuz Bozer
Yavuz Bozer
Professor, Industrial & Operations Engineering
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Izak Duenyas
Izak Duenyas
Donald C. Cook Professor, Business Administration
Professor, Technology and Operations
Faculty Director, Executive MBA Program
Professor, Industrial & Operations Engineering
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Don Lynch
Don Lynch
Instructor, Integrative Systems + Design
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Learn 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, case studies, and in-class simulations.


Online Course Access

Participants receive access to both the online Green Belt course to review for project work and exam preparation. In addition, supplemental modules are available for additional learning on topics including:

  • 5S Process
  • Statistical Process Control (SPC)
  • Measurement Systems Analysis
  • Linear Regression
  • Failure Mode and Effects Analysis, etc.