Course Description
Days 1 and 2 (Refresh)
Review Lean Six Sigma (LSS)
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
Voice of Customer (VOC)
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
Project Justification – Building the Business Case Utilizing the VOC
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
Days 3 and 4 (Define)
Lean Methods and Selection
Simple, Structured Methods for Workplace Improvements
Event-Based Process-Improvement Methods
Shorter event-based activities
Lean Metrics In-Depth
Process metrics
Organizational Metrics
Days 5 and 6 (Measure)
Lean and Six Sigma Tools and Techniques
Value Stream Mapping
Histograms
Pareto
Cause & Effect Diagram
DFMEA
PFMEA
Days 7 and 8
Math
Refresher on Algebra
Statistics Refresher & Minitab Introduction
Types of Data (Attribute, Variable (continuous))
Measures of Central Tendency
Concept of Standard Deviation
Process Capability: Cp and Cpk
Working with Minitab
Days 9 and 10 (Analyze)
Scales of measurement
Confidence Interval Review
Hypothesis Testing Review
Sample Size
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
Technical Estimating
Importance
Tips
Examples
DOE I
DOE Review
Analysis of Variance
Blocks
Full Factorial DOE
Several Minitab Examples
Days 11 and 12
Advanced SPC
SPC Review
Advanced Gage R&R
Shewhart Rules
SPC for Non Normal Data
Minitab Examples
Days 13 and 14 (Improve)
DOE II
Fractional Factorial DOE
Taguchi DOE
Central Composite Design
Response Curve Methodology
Multiple Linear Regression
Numerous Minitab Examples
Days 15 and 16 (Control)
Lean Culture
5S Workplace
Visual Workplace
Days 17 and 18
CQI Kaizen (Rapid Process Improvement Courses)
Building A Culture of Kaizen
8D & Mistake Proofing
8D – The steps to root cause and control
Mistake proofing
Days 19 and 20
Optimization
Introduction to Optimization
Review Key Definitions
Linear Programming
Integer Programming
Programming with Excel
Applications
Scheduling
Definitions and Jargon
Overview of Different Production Scheduling Environments
- Single machine scheduling
- Parallel machine scheduling
- Flow shops
- Others
Typical Assumptions used in Scheduling
Performance Measures
Scheduling Techniques (Algorithms and Heuristics)
- Focus on Single Machine Scheduling Techniques
- Brief visits to other environments
You Will Learn How To
- Apply a wide range of process improvement techniques
- Think about your organization as a collection of processes, with inputs that determine the output
- Apply the five-step DMAIC model to organize process improvement activity
- Successfully lead complex process improvement projects
- Deliver meaningful, bottom-line operational excellence to the organization
Who Should AttendTest
Important Course Information
-
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.
-
Prerequisites
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 are highly recommended to have a copy of the Black Belt Course Manual, in either Paper or PDF copy, to use as reference.
-
Homework
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.
Software/Hardware:
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.
-
Course Materials
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.
-
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.
Exam Entry CriteriaThis 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.
Workshop Schedule:
*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
Cancellation Policy:
If a customer would like to cancel or transfer their course, they must notify Learning Tree prior to two weeks before the start date of the course or within seven days of registration. If a customer transfers to another course prior to two weeks before the start date or within seven days of registration of the course in which originally enrolled, 100% of any prepaid course tuition will be applied toward the course tuition for the subsequent course. If a customer needs to cancel an enrollment two weeks prior to the start of the class or within seven days of registration, we will refund 100% of any prepaid course tuition for that enrollment. If a customer does need to transfer or cancel a course within two weeks of the start date of the course or after seven days from the date of registration, a fee equal to 50% of the price of the course will be assessed for any standard attendances.
Audience
Test