The business world thrives on improving processes by reducing costs, speeding up operations, and enhancing quality or customer satisfaction. Embark on this corporate journey with a Lean Six Sigma Green Belt certification from the Thayer School of Engineering at Dartmouth. This program equips you with critical skills such as root cause analysis, process mapping, statistical process control, and experimental design, enabling you to apply expertise across various fields.
Led by PhD professors, you'll engage in hands-on learning through workshops and case study assignments.
A week prior to the class start date, students will receive a PDF of the course materials. Each session is recorded and uploaded to Dropbox, allowing participants to download them for later review or if they miss a class.
Students must select and complete one case study—choosing from manufacturing, finance, or healthcare—within 10 days of the final class. This requires approximately 40 hours of work. All case studies are provided before the workshop begins, allowing you to work on them throughout the training.
Lean Six Sigma: Green Belt Certification Training Delivery Methods
Lean Six Sigma: Green Belt Certification Training Course Information
In this program, you will:
- Apply lean and six sigma tools within the context of DMAIC
- Manage root cause analysis
- Identify and eliminate waste through process mapping
- Apply statistical analysis techniques
- Improve team dynamics
Prerequisites
None, though it is highly recommended that students acquire the Green Belt Course Manual, available in Paper or PDF format, for reference.
Workshop Schedule
The program comprises 10 four-hour sessions, held 10 AM to 2 PM EST, every Tuesday & Wednesday, totaling roughly 40 hours of training.
Participants must also complete one Lean Six Sigma (LSS) case study, which requires about 40 additional hours of homework.
Exam Information
Take home exam is required. You must show your own original work on the exam and must work independently. Contact the instructor for help and guidance; do not contact other participants. You must complete the exam and email it to the instructor within 5 business days of the last session on day 10. Those who do not return the exam within 5 business days will not be eligible for the LSS Green Belt Certificate (NO EXCEPTIONS).
This is an open notes exam so you can use all of the material that the instructors have provided to you. The exam will be primarily question and answer format with some of the math that you have learned during the course. The exam should be completed in 8 to 12 hours. It is a pass/fail exam.
Dartmouth College, Thayer School of Engineering, will issue a certificate of completion, in PDF format, to participants who successfully complete the case study and pass the take home quiz.
Training Accredited by Thayer School of Engineering at Dartmouth:
Professional certification involves demonstrating the necessary knowledge for a specific role by earning credentials through quizzes, exams, case studies, or a combination provided by an accredited organization. Accreditation ensures an institution meets quality standards recognized by reputable entities, adding value to the certification. Obtaining a certification from a trusted, accredited institution is crucial. Dartmouth College, founded in 1769, is accredited by the Commission on Institutions of Higher Education (CIHE) of the New England Association of Schools and Colleges (NEASC). Accreditation is a non-governmental, non-profit, self-regulatory, peer review process based on rigorous standards.
Green Belt Course Outline
Introduction to Lean Six Sigma (LSS) & Use of common LSS Tools
- Processes: Management, Core, Support
- Lessons and Laws of Lean
- 6 Causes of Variation in Six Sigma
- ISO 9001 relationship to LSS
- DMAIC model
- Types of improvement teams
- Team Development Stages and how to navigate through them
- Team guidelines
- Effective team meetings
- Consensus and the power of synergy
Team Conflict, Dysfunction and Tools
- Differences between a group and a team
- Process of Consensus Decision-Making
- Insight into the Power of Synergy
- Understand the Five Dysfunctions of a Team
- Various techniques to Build a High Performing Team
- Additional Team Tools
Identifying & Evaluating Waste
- Seven wastes
- 5S
- POKA YOKE
- Flow
- Definitions & Simulations
- One-Piece Flow
- Batch or Batch Processing
- Considering Set-up & Machine Downtime
Level Loading
- What is it?
- How might you achieve level loading?
Push/Pull Systems/Lead Times
- Push Definition and Example
- Pull Definition and Example
- Establishing Lead Times and setting Goals
DMAIC (Define, Measure, Analyze, Improve, Control)
- DMAIC detail through case study
- Use of common LSS Tools
Layout the Workflow
- Functional Layout
- Product Layout
- Dedicated Work Cells
Value Stream Mapping
- Visual Management – Gemba
- Types of Maps
- Implementation and methods of VSM
Introduction to Statistics
- Statistics notation (symbols)
- Normal (bell-shaped) curve
- Measures of central tendency
- Understanding of variation
- Dispersion and standard deviation
- Process capability
- Purpose of using statistics
- Variation and the Normal Curve
- Data and Variation
- Measures of Central Tendency
- Standard deviation
- Confidence interval of the mean
- Hypothesis testing
Statistical Process Control (SPC)
- What it is and why we use it
- Types of Data (attribute, variable)
- Pareto Charts
- Six Sigma (+/-6 standard deviations)
- Why is standard deviation important (Cp & Cpk)?
Introduction to Design of Experiments (DOE)
- What is DOE and why use it?
- DOE Size
- Steps to Conducting a DOE
- DOE Example(s) and Exercises using Minitab