Lean Six Sigma Black Belt Upgrade

Lean Six Sigma Black Belt Upgrade Course Overview 

• 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     

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     

• 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 

• 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 
  

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

• 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 
  

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

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

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

• Process Capability: Review from Green Belt 

• 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 
  

• Scenario 
• Abbreviated Instructions 
  
• Reviewing the Results 
  

• Scenario 
• Abbreviated Instructions 
  
• Interpreting the Results 
  

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

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

• 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 
  

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

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

• General overview 
• Key Metrics 
  
• Using Lean Metrics 
  

• Overview 
• Understanding Gauge R&R 
  
• Minitab Walkthrough 
  

• Modelling Queues 
• Psychology of Queuing