Lean Six Sigma Black Belt Upgrade

• Professional Background: This course is ideal for professionals who already hold a Lean Six Sigma Green Belt certification and have some experience in process improvement initiatives. A foundational understanding of Lean Six Sigma principles is essential to succeed in this course. 

• Language Proficiency: Learners must have a strong command of English, as all course content, discussions, and assessments are delivered in English. 

• Interest in Process Improvement: The course is designed for individuals looking to deepen their Lean Six Sigma expertise, lead organisational change, and enhance their ability to drive process improvement and operational excellence. 

• Master Advanced Lean Six Sigma Tools: Gain proficiency in advanced tools and techniques such as regression analysis, design of experiments (DOE), and statistical process control (SPC) to drive process improvements and solve complex business challenges. 

• Lead High-Impact Projects: Learn how to manage and lead large-scale Lean Six Sigma projects, using the DMAIC (Define, Measure, Analyse, Improve, Control) methodology to implement successful process improvements and deliver tangible business results. 

• Enhance Data-Driven Decision Making: Develop a strong ability to analyse data and make informed decisions that will improve business performance, reduce waste, and enhance quality. 

• Foster Organisational Change: Learn how to guide teams and organisations through successful change initiatives, promoting a culture of continuous improvement and problem-solving. 

The Lean Six Sigma Black Belt Upgrade Course is specifically tailored for professionals who are looking to advance their Lean Six Sigma expertise and take on leadership roles in process improvement initiatives. The following individuals will benefit from this course:

• Business Executives
• Team Leaders
• Managers
• Process Improvement Specialists
• Project Managers
• Quality Control Professionals
• Operational Managers
• Data Analysts
• Continuous Improvement Leaders
• Consultants 

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