Lean Six Sigma Master Black Belt Upgrade

•  Professional Background: A prior certification in Lean Six Sigma Black Belt (or equivalent experience) is required. Learners should have experience in process improvement initiatives and a strong understanding of Lean Six Sigma principles. 

•  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 ideal for professionals looking to refine their leadership skills and drive continuous improvement within their organisations. 

• Master Advanced Lean Six Sigma Techniques: Gain a deeper understanding of advanced statistical analysis, process optimisation, and problem-solving methodologies to lead complex projects effectively. 

•  Lead High-Impact Projects: Develop leadership skills to guide cross-functional teams, oversee large-scale process improvement initiatives, and manage the implementation of Lean Six Sigma strategies at an organisational level. 

•  Enhance Strategic Thinking: Learn how to align Lean Six Sigma practices with broader business objectives, ensuring that process improvements contribute directly to organisational success. 

•  Implement Change Management Strategies: Understand how to navigate organisational change, manage resistance, and drive successful transformations through effective communication and stakeholder engagement. 

 The Lean Six Sigma Master Black Belt Upgrade course is designed for experienced professionals who wish to advance their Lean Six Sigma expertise and lead impactful change within their organisations. This course is perfect for:

• Senior Business Executives
• Process Improvement Leaders
• Project Managers
• Operational Managers
• Quality Managers
• Lean Six Sigma Black Belts looking to upgrade their skills
• Consultants specialising in process improvement
• Corporate Trainers in Lean Six Sigma methodologies 

Module 1: Role of the Black Belt

• Black Belt Major Areas of Responsibility
• How the Black Belt Helps the Green Belt During DMAIC?
• Control Frameworks
• Collecting Data

Module 2: Lean Management and Cell Theory

• Role of the Lean Manager
• Work Cells
• High Performing Teams (HPTs)
• Rapid Action Teams RATs
• Visual Management
• Bruce Tuckman’s Group Development Model
• Emotional Cycle of Change (ECOC)
• Personality Styles
• Dealing with Resistance

Module 3: Project Selection Using PPI

• Selecting Improvement Projects
• Possible Improvement Projects
• Introduction to Advanced Statistics
• What Upsets Customers?
• Aim of Statistical Modelling
• Significance

Module 4: Language of Statistics

• Statistics Basics
• Descriptive and Inferential Statistics
• Qualitative and Quantitative Data
• Black Belt Data Types
• Parametric and Non-Parametric Distributions
• Population Parameters Vs Sample Statistics
• Finding Correct Test Results
• How Big Should my Random Sample Be?
• Quadrats
• Calculating the Random Sample Size
• Top Level Road Map for Statistical Tests
• Basic Process Improvement Methodology

Module 5: Statistics Basics: Measuring Uncertainty and Measure Phase

• Probability (“p”)
• Margin of Error
• Confidence Interval
• Degrees of Freedom
• A Two-Step Measure Phase
• Building the Data Collection Plan

Module 6: Statistics Basics: Minitab Run Through

• Minitab 16 and 17 Interface
• Example of Using Minitab to Create a Control Chart

Module 7: Distributions

• Overview
• Z Distribution
• Binomial Distribution
• Other Distributions

Module 8: Introduction to Hypotheses Testing

• Hypotheses
• Hypotheses Testing
• Type I and Type II Errors
• Values Used by Minitab

Module 9: Design of Experiments (DOE)

• Overview of DOE
• Where to Use Design of Experiments?
• Factorial Approach to Designed Experiments
• Design of Experiments Flow Diagram

Module 10: Advanced Control Charts

• Overview
• How to Use Control Charts?
• What Does “Out of Control” Mean?
• How Control Charts Differ?
• Calculating Initial Control Limits
• Combining Charts and Practical Control Charts
• Control Chart Roadmap
• Individual and Moving Range Charts
• Configuring the Control Chart
• X-Bar, R, and S Charts
• Why is it a Good Idea to Chart Both Mean and Variance?
• U, C, and P Charts

Module 11: Data Collection Planning

• Sampling Frequency
• Cyclic Patterns
• When to Consider I-MR Charts?
• When to Consider R and S Chart?
• Sub Group/Sample Sizes
• Control Chart

Module 12: Lean Metrics

• Control Chart
• OEE and TEPP
• Dock to Dock Time
• Build to Schedule
• Order Fulfilment Metrics
  • Completed Orders Metrics
  • Delivery Metrics
  • Warranty Metrics
  • Customer Feedback Metrics