PDF Add to WishList
This workshop is designed for Lean Six Sigma team leaders and expands upon the skill set taught in the Green Belt certification. The coursework includes instruction on modules in practical DMAIC applications, Failure Mode Effects Analysis, Advanced Lean, Advanced DOE, SPC for non-normal distributions, Optimization, Scheduling & Sequencing, effective and efficient teamwork strategies, as well as a variety of other tools and analysis methodologies. The PhD professors offer practical experience in guiding students through this workshop, assisting with the attendee case-study assignments.
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.
*20 – (4-hour sessions); (2 sessions per week for 10 weeks), sessions run 10:00 am to 2:00 PM Eastern Time (approximately 80 hours of training) plus you must do two LSS case studies, (approximately 80 hours homework). Lean Six Sigma Black Belt Certification from Thayer School of Engineering at Dartmouth will be awarded upon successful completion of coursework, test, and two case studies. Please review the PDF for the Schedule options: Lean Six Sigma Black Belt Schedule
Who would benefit from this training?
The Black Belt workshop is for those individuals that want to gain an in-depth knowledge of lean six sigma, and also be able to manage a lean six sigma project.
Participants must have completed the Green Belt program or have college level statistics (in the last 4 years) and are highly confident in their statistics capability before taking this workshop. We can evaluate a person’s background if needed – at no extra charge.
Students must complete two case studies (choosing from manufacturing, finance, or healthcare) within 10 days of the last class (approx. 80 hours of homework). You will receive all case studies before the workshop begins, and will work on them over the duration of the training.
A laptop with a functional copy of a statistical analysis package, Minitab, will be needed for this workshop. A trial copy of Minitab is usually sufficient if you wait to sign up for Minitab just prior to using it - to make sure the trial does not run out before you do the case studies and test. Minitab must 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.
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.
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 10 business days of the last session on day 20. Those who do not return the exam within 10 business days will not be eligible for the LSS Black Belt Certificate (unless advanced exception was granted by Dr. Lasky).
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 and should be completed in approx. 20 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.
Learn Basic Definitions (Process, Lean, Six Sigma)
The DMAIC Model with Gate Reviews
Basic Tools (Problem Statement, SIPOC)
Performance Based Metrics, DPU, DPMO
Practice with examples
Describe the importance of VOC, and VOB
Define and clarify CTQ and COPQ
Understand how to segment Customers
Learn how to capture Voice of Customer
Describe the development of Critical Customer Requirements (CCR)
Create a CCR Tree - Practice
Learn how to use Kano Analysis
Define the Business Case – Why?
Learn to utilize the business case to justify the need for the project
ROI of Quality / Project ROI
Pitching the Case – VOC & VOB
Performance management as a System
Our responsibility as a Leader
Accountability! It means a lot
Holding one Accountable
Developing and revising the Project Charter
Project management Fundamentals
Managing personal and organizational change
Red-Yellow-Green status and action plans
Using the A3 tool to report project status
Managing deliverables: requirements, testing, implementing, passing ownership
Managing change at the individual, team and organizational level
Common and special cause variation
Variation and the normal curve
Types of Data (Attribute, Variable (continuous))
Measures of Central Tendency
Concept of Standard Deviation
Process Capability: Cp and Cpk
Confidence Interval Review
Hypothesis Testing Review
Type II Error and Power
Hypothesis Testing of Variance
Tolerance and Prediction Intervals
Tests on a Proportion
Statistical Inference for Two Samples
Using Minitab to Solve Advanced Stats Problems
Sampling Strategies to Determine Quality Levels
Advanced Gage R&R
SPC for Non Normal Data
Analysis of Variance
Full Factorial DOE
Fractional Factorial DOE
Central Composite Design
Response Curve Methodology
Multiple Linear Regression
Numerous Minitab Examples
Building a lean culture
What is a Kaizen?
5s Kaizen Example
Kaizen Event Flow Example
When to Kaizen
When Not to Kaizen
Chartering a Kaizen
8D – The steps to root cause and control
Introduction to Optimization
Review Key Definitions
Programming with Excel
Overview of Different Production Scheduling Environments (Single machine, Parallel machine, Flow shops, Others)
Typical Assumptions used in Scheduling
Scheduling Techniques (Algorithms and Heuristics)