Lean Six Sigma Black Belt Upgrade - United Kingdom

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 the Industry Identifies 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