Six Sigma Black Belt Course

• Educational Background: Learners must acquire the Six Sigma Yellow Belt and Green Belt certifications before pursuing this Six Sigma Black Belt Course.
• Language Proficiency: Learners should have a good command of English, as all course materials, assessments, and discussions are conducted in English.
• Interest in Six Sigma Principles: This course is ideal for individuals with a keen interest in Six Sigma Principles.

• Advanced Process Improvement: Learners will develop the ability to lead complex process improvement projects, using Six Sigma methodologies to drive efficiency and effectiveness.
• Data-Driven Decision Making: Learners will gain expertise in analysing data to identify issues, enabling informed decisions that enhance quality and optimise performance.
• Leadership in Quality Management: Learners will acquire leadership skills to manage cross-functional teams, ensuring successful implementation of Six Sigma initiatives across organisations.
• Six Sigma Certification Preparation: Learners will be fully prepared for the Six Sigma Black Belt certification exam, demonstrating their mastery of the methodology and tools.

This course is ideal for professionals involved in quality management, process improvement, and leadership. It provides the skills needed to drive organisational success through advanced Six Sigma techniques.

• Quality Managers
• Process Improvement Specialists
• Project Managers
• Operations Managers
• Business Analysts
• Continuous Improvement Managers

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 and 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
• 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
• Testing for Means
• t-tests Consider More than Just the Means…
• t-test Exercise
• Z test
• Testing for Medians
   

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
• 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 & Refresher
• Key Control Charts
• Data Collection Planning for Control Charts
   

Module 16: Measurement System Analysis (MSA)

• Overview
• Understanding Gauge R&R
• Minitab walkthrough
   

Module 17: Lessons from Queue Theory

• Modeling Queues
• Psychology of Queuing
   

Module 18: Lean Metrics

• General overview
• Key Metrics
• Using Lean Metrics