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Lean Six Sigma: Green Belt



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The business world is highly focused on process improvement through reducing costs, increasing speed, and improving quality or customer satisfaction. This is true for virtually all business practices, including contract negotiation, purchasing, selling, marketing, and production. Launch yourself into this corporate world with a Lean Six Sigma Green Belt certification from Thayer School of Engineering at Dartmouth.

Your Lean Six Sigma skill set will include root cause analysis, process mapping, statistical process control, design of experiments, and a variety of other useful process calculations, allowing you to bring expertise to any field or discipline. The PhD professors offer practical experience in guiding students through this workshop, assisting with the attendee case-study assignment.

Training accredited by Thayer School of Engineering at Dartmouth:

Professional certification is a process in which a person proves that he or she has the knowledge, as a basis, for performing a specific job. The proof comes in the form of a certification earned by passing quizzes, an exam, case studies, actual case or some combination of these items that are provided by an accredited organization. Accreditation is recognition that an educational institution has a certain standard of quality that other reputable organizations will honor. Without accreditation the certification provider may not provide the participant lasting value. Therefore, it is imperative that you receive your certification from a trusted, accredited institution. 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.

Workshop Schedule:

*10 – (4-hour sessions); (2 sessions per week for 5 weeks), sessions run 10:00 am to 2:00 PM Eastern Time (approximately 40 hours of training) plus you must do one LSS case study, (approximately 40 hours homework). Please review the PDF for the Schedule options: Lean Six Sigma Green Belt Schedule

You Will Learn How To

  • 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

Important Course Information

Who would benefit from this training?

Those individuals who can use basic statistics to assist a project team. This hands-on workshop is designed for Lean Six Sigma project team members.


Participants are expected to have basic algebra capability. Yellow belt certification is not a requirement.

Course Materials:

Students are highly recommended to have a copy of the Green Belt Course Manual, in either Paper or PDF copy, to use as reference.

Students will be provided with a PDF of the class materials.

All sessions are recorded, placed in a dropbox, and provided to participants for download to a computer in the event of a missed class or for review in the future.


Students must choose one case study (from manufacturing, financial, or healthcare) and complete it within 10 days of the last class (approx. 40 hours of homework). You will receive all case studies before the workshop begins, and will work on it over the duration of the training.


Minitab is used in this workshop. Minitab is available for free 30-day trial and must be run on a Windows PC.

A headset with microphone is required, as using built-in speakers/microphone causes echo issues. Headsets give participants complete interaction with the instructor and other students.

Exam Information: This 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.

Certification Information:

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.

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




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

  • Culture of Teamwork
  • 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

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Training Hours

10 half day sessions (two 4hr sessions per week, for five weeks); 10:00 am - 2:00 pm Eastern Time

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