Lean six Sigma Green Belt

The College of Engineering: Integrative Systems + Design

The College of Engineering: Integrative Systems + Design

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Who should attend

A basic understanding of statistical analysis methods is recommended, including:

  • Basic Microsoft Excel Skills
  • Basic Statistics

About the course

EARN YOUR GREEN BELT FROM THE UNIVERSITY OF MICHIGAN

Learn how to effectively solve problems by integrating Lean and Six Sigma within the DMAIC approach. Using a blend of examples and case studies drawn from manufacturing, transactional/service, and healthcare environments, this five-day course course will set you up with a structure to systematically frame problems, collect data productively, and implement sustainable solutions.

BLENDED TRACK

This course focuses on applications drawn from a variety of industries, including manufacturing, transactional/service, and healthcare environments.

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)

TIME COMMITMENT AND WORK PACE

We estimate an additional 10-30 hours of project work following the course. All requirements — including a self-paced Lean Six Sigma Green Belt Certification Exam — must be completed within 180 days after completion of the live course.

CERTIFICATION REQUIREMENTS

Participants pursuing their University of Michigan Lean Six Sigma Green Belt Certification are required to:

  • Participate in all course training days and successfully complete all in-class and online exercises
  • Obtain an 80% or above on Green Belt Certification Exam
  • Obtain approval of Green Belt Project Proposal by U-M faculty
  • Successfully complete a Green Belt Project (reviewed by U-M faculty)

SUPPORT

Following the live course, 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.

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

ONLINE COURSE ACCESS

Participants receive access to both the online Green Belt course to review for project work and exam preparation. Supplemental modules are available for topics including:

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

COMPLIMENTARY SOFTWARE

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.

Experts

Izak Duenyas

Izak Duenyas is interested in supply chain management and coordination, revenue management in a variety of industries, evaluation of investment decisions in capacity, and in modeling and control of production systems. Duenyas has served as area editor in Manufacturing, Service and Supply Chain Op...

Patrick Hammett

Dr. Patrick Hammett is the Lead Faculty for the University of Michigan College of Engineering's Six Sigma Programs and teaches related Quality and Statistical Analysis Method courses as a Lecturer for the Integrative Systems +Design Department. As lead instructor for live and online Six Sigma tra...

Yavuz Bozer

Dr. Yavuz Bozer received his M.S.I.E. (1978) and Ph.D. (1985) degrees in Industrial and Systems Engineering from Georgia Institute of Technology. Since joining the University of Michigan College of Engineering, he has been involved in various industrial projects with DaimlerChrysler, Ford, Genera...

Don Lynch

Donald P. Lynch, Ph.D. received his B.S. in Mechanical Engineering from Michigan Technological University, MBA from Eastern Michigan University, Ph.D. in Mechanical (Industrial) Engineering from Colorado State University, and a post Graduate Certificate in Lean Six Sigma from the University of Mi...

Videos and materials

Lean six Sigma Green Belt at The College of Engineering: Integrative Systems + Design

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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