Master Black Belt:

Course Overview:

Lean Six Sigma Master Black Belt (MBB) is a systematic study of the capacity to lead the Lean Six Sigma principles to propel the organization to its destination.

The Master Black Belt course is designed for professionals that hold:

  • Outstanding skills and expertise in service or industrial businesses that aim to be full Lean six sigma subject matter experts that lead productivity and performance excellence strategies across organizations and are looking for a career breakthrough.
  • Certified candidates will demonstrate their attained skills through deploying DMAIC projects, integrate LSS in teams’ day to day processes to advance performance and give cutting edge value to all data and would earn high recognition in the business market.

Who Can Enroll:
• The course is designed for current ASQ Certified Six Sigma Black Belt (CSSBB).

• A competitor must have both accompanying experience levels.

• At least 5 years of involvement with the part of a SSBB or MBB.

Course Features:

• Attaining CHOOLS Group FI professional Certification through achieving 80% in the exam included in the course and completing project in a manufacturing entity.
• Material and Handouts with Soft Copy included.
• Course cost cover training sessions, comprehensive notes set.
• Professionally planned, prepared, and presented.
• Guidelines and Support material is provided to all participants.
• Certificate of training completion.
• Support from subject matter experts.

Learning Outcome:

  • Learn the Advances LSS tools and methods applied during a Master Black Belt Project.
  • Hands-on simulations, exercises, and practice workshops of tools and methods used across the DMAIC methodology.
  • Advanced use of Minitab statistical software.
  • On Completing the course, you can Be assigned as a Full-time MBB, certified position with training, delivering a project, and delivering coaching reports.
  • You can be assigned job as
  • 150 Question closed book exam: MBB Project Charter for certification.
  • Training certificate for course completion.
  • Master Black Belt Certification for Exam and Project completion.
  • Company Customized courses available.
  • Recommended coaching by LSSMBB

Why Choose Chools?

Access to:

• Top 100,000 Ebooks.
• 250,000 Management slides and presentations.
• 1 million excel templates.
• 60,000 business documents.

• 15,000 top books in abstract forms.
• 40,000 audio podcast.
• 550 audio library books.
• 50,000 video libraries.

• 1500 training courses.
• 2.6 million Journals and articles.
• 137 Lean Six Sigma toolkit.
• Leadership assessments.
• Quiz, Exam prep, Q&As, Case-studies.

Course Outline:

Week 1

  • Six Sigma Introduction
  • Six Sigma Project Definitions
  • Project Selection Process
  • Six Sigma Deployment
  • Process Mapping
  • Input Prioritization Tools
  • Failure Mode Effect Analysis
  • Minitab 17 Introduction
  • Measurement Systems
  • Capability Analysis
  • Sample Size Selection
  • Statistical Process Control
  • Process Control Plan
  • Integration of Lean
  • Project Plan & Deliverable
  • Project Reviews

Week 2

  • Week 1 Review in Class Project
  • Advanced Graphical Analysis
  • Multi-Vari Planning
  • Variation Trees and Funneling
  • Hypothesis Testing
  • Central Limit Theorem
  • Statistical Analysis Roadmap
  • Test for Mean with t-test
  • One Way ANOVA
  • Non-manufacturing Applications
  • Correlation and Regression
  • Multi-Vari Analysis
  • Process Control Plan
  • Project Plan & Deliverable
  • Project Reviews

Week 3

  • Week 1 and 2 Review Project
  • Multiple Regression
  • Advanced Multi-Vari
  • Attribute Measurements
  • Attribute Measurement Systems
  • Sample Size Calculations
  • Six Sigma for Service
  • Managing Change
  • Introduction to DOE
  • Full Factorial Experiments
  • Full Factorial Simulations
  • Fractional Factorials Designs
  • DOE Sample Size Selection
  • In class DOE Project
  • Project Planning & Deliverables
  • Project Reviews Measurement

Week 4

  • Design of Experiments Review
  • Blocking in Experiments
  • General Factorial Experiments
  • Six Sigma Residual Analysis
  • Non-Normal Data – Transformations
  • Non-Normal Data in Experiments
  • Sequential Experimentation
  • Response Optimization Designs
  • Multiple Response Optimization
  • Transactional Improvements
  • Simulations for Improvement
  • Applied Experimentation
  • Statistical Process Control
  • Mistake Proofing
  • Control Methods
  • Project Closure and Synergy

Week 5 & 6

  • Variation
  • Non-parametric analysis
  • Destructive testing
  • Multi-vari experiments
  • Practical experimentation
  • Handling attribute responses
  • Optimization experiments
  • Advanced regression methods
  • Handling multi-response experiments
  • Distributional analysis
  • Advanced SPC methods
  • Class Project
  • Project Reviews
  • Final Exam
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