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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
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.
Minitab is used in this workshop. Minitab is available for free 30-day trial and must be run on a Windows PC. We highly recommend the purchase of a Minitab licenses for this training. The price is not included with the training fee, but you can email the administrator for purchase access.
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. This feature enables attendees to attend sessions either in-person, or through self-paced study. Three instructors (one will be selected based on type of question) will be available to answer questions via email or phone call if you elect to do self-study. If you want to do self-study you must email the administrator to get permission prior to the start of the workshop.
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. 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.
The exam will be primarily question and answer format with some of the math that you have learned during the course. It is roughly 60% math problems to solve and 40% non-math. The exam should be completed in 8 to 20 hours. It is a pass/fail exam. You will be given a second attempt to pass the exam, updating the questions that you have not answered properly or in full.
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 VOCDefine 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
Lean Methods and SelectionSimple, Structured Methods for Workplace Improvements Event-Based Process-Improvement Methods Shorter event-based activities
Lean Metrics In-DepthProcess metrics Organizational Metrics
Lean and Six Sigma Tools and TechniquesValue Stream Mapping Histograms Pareto Cause & Effect Diagram DFMEA PFMEA
MathRefresher on Algebra
Statistics Refresher & Minitab IntroductionTypes of Data (Attribute, Variable (continuous)) Measures of Central Tendency Concept of Standard Deviation Process Capability: Cp and Cpk Working with Minitab
Scales of measurementConfidence 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
Advanced SPCSPC Review Advanced Gage R&R Shewhart Rules SPC for Non Normal Data Minitab Examples
DOE IIFractional Factorial DOE Taguchi DOE Central Composite Design Response Curve Methodology Multiple Linear Regression Numerous Minitab Examples
Lean Culture5S Workplace Visual Workplace
CQI Kaizen (Rapid Process Improvement Courses)Building A Culture of Kaizen 8D & Mistake Proofing 8D – The steps to root cause and control Mistake proofing
OptimizationIntroduction to Optimization Review Key Definitions Linear Programming Integer Programming Programming with Excel Applications Scheduling Definitions and Jargon Overview of Different Production Scheduling Environments