Lean Six Sigma Black Belt Upgrade

Lean Six Sigma Black Belt Upgrade Course Overview 

The Black Belt Upgrade Course provides intensive training in advanced Lean Six Sigma methodologies, focusing on refining Green Belt skills and expanding knowledge in statistical analysis, project management, and leadership. Participants will learn to lead complex improvement projects, drive organizational change, and deliver measurable results. 

Learning Outcomes 

• Enhanced proficiency in advanced statistical analysis techniques
• Mastery of project management and leadership skills within the DMAIC framework
• Ability to lead and mentor Green Belts in larger, more complex improvement projects
• Advanced problem-solving capabilities to drive continuous improvement 

Prerequisites of the Lean Six Sigma Black Belt Upgrade Course     

Delegates must have passed the Lean Six Sigma Green Belt and Black Belt Courses to attend this Lean Six Sigma Black Belt Upgrade Course. 

Who should attend this Lean Six Sigma Black Belt Upgrade Course? 

• Senior Project Managers
• Quality Assurance Managers
• Operations Directors
• Process Improvement Specialists
• Continuous Improvement Managers 

Course Structure     

This 5-day course will be divided into a two-part structure: 

• In the first 3 days, we will cover the essential materials needed to understand Lean Six Sigma Black Belt
• The remaining 2 days will cover the essential materials needed to take the Lean Six Sigma Black Belt exam 

Lean Six Sigma Black Belt Upgrade Course Outline 

Module 1: Role of the Black Belt 

• Black Belts’ Place in the Business
• Black Belt Skill Set
• Green Belts’ View of the World
• Black Belts’ View of the World
• How does the Industry Identify Black Belts?
• Who does the Black Belt Work with?
• Case Study 

Module 2: Black Belt DMAIC 

• How the Black Belt helps the Green Belt During DMAIC?
• Measure Phase
• DMAIC Programmes
• Governance 

Module 3: Enterprise Risk Management 

• Risks Lie in Two Areas
• Who Should Handle Risk?
• DMAIC Risk
• A view of Business Risk Management
• Basic Risk Management Procedure
• Business Risk Management in a Nutshell 

Module 4: Physical Cell Design and Optimising Flow 

• In a Nutshell
• Task & Work Cells
• Flow Improvement Objectives
• Practical Layout Design 

Module 5: Black Belt as a Trainer 

• Characteristics of Adult Learners
• Three Common Learning Styles
• Preparing the Training
• Top Tips
• Case Study 

Module 6: Statistics Basics 

• Introduction and SPC Refresh
• Common Terminology
• Flow Improvement Objectives
• Measuring Uncertainty
• Minitab Run-through 

Module 7: Process Capability 

• Process Capability: Review from Green Belt 

Module 8: Hypotheses Tests 

• Introduction to Hypotheses Testing
• Working with Hypotheses Tests
• Hypothesis Test Roadmap
• Anderson Darling Normality Test
• To Open the Worksheet
• The Results
• Testing for Means
• t-tests Consider More than Just the Means…
• t-test Exercise
• Z test
• Testing for Medians
• Where Could I Use Median Tests?
• Median Hypothesis Tests
• Testing for Standard Deviation (Variance)
• Equal Variance Hypothesis Tests
• Exercise: Test for Equal Variance
• Interpreting the Results
• Using Bartlett’s Method
• Testing for Proportions and Percentages
• Proportions and Percentages Hypothesis Tests 

Module 9: Exercise Using Minitab’s – 2 Proportion Test 

• Scenario
• Abbreviated Instructions
• Reviewing the Results 

Module 10: Exercise Using Minitab’s - Chi-Square Test 

• Scenario
• Abbreviated Instructions
• Interpreting the Results 

Module 11: ANOVA 

• Required conditions for ANOVA
• The ANOVA “family”
• ANOVA Terminology
• Hypotheses Tests and One-way ANOVAs
• Exercise - One-way ANOVA
• Exercise - Multi-way ANOVAs 

Module 12: Data Collection Planning for Hypotheses Tests 

• General Points
• Sample Size
• How a Greater Sample Size Reduces Uncertainty?
• Case Study 

Module 13: Design of Experiments (DOE) 

• Overview of DOE
• Where to Use Design of Experiments?
• DOE Terminology (1)
• Design of Experiments Flow Diagram
• Walkthrough: SB Glass Co
• Step 1: Investigate the Process
• Step 2: Gather Data
• Recording the Data: Building the Worksheet
• Minitab Creates an Initial DOE Worksheet
• Team Completes the Worksheet
• Step 3: Analyse Data
• Teams’ First Analysis of the Data
• Minitab does its Stuff 

Module 14: Probability Distributions 

• Overview
• Normal Distribution
• Binomial Distribution
• Poisson
• Exponential
• Weibull 

Module 15: Advanced Control Charts 

• Introduction and Refresher
• Key Control Charts
• Data Collection Planning for Control Charts 

Module 16: Measurement System Analysis (MSA) 

• General overview
• Key Metrics
• Using Lean Metrics 

Module 17: Lessons from Queue Theory 

• Overview
• Understanding Gauge R&R
• Minitab Walkthrough 

Module 18: Lean Metrics 

• Modelling Queues
• Psychology of Queuing