Six Sigma Black Belt Upgrade Course

• Educational Background: Learners must have earned the Six Sigma Green Belt certification before pursuing this Six Sigma Black Belt Upgrade Course. It is also recommended to review topics from Yellow and Green Belt Courses
   
• 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 learning Six Sigma Principles.

• Advanced Process Improvement: Learners will gain expertise in applying advanced Six Sigma tools and techniques to optimise complex business processes and achieve measurable improvements.
   
• Leadership and Project Management: Learners will develop leadership skills to manage large-scale Six Sigma projects, ensuring effective collaboration, resource management, and timely delivery of results.
   
• Data-Driven Decision Making: Learners will master statistical analysis and data interpretation to make informed decisions that drive quality improvement and operational efficiency.
   
• Sustainable Change Implementation: Learners will learn how to implement lasting process improvements and mentor teams to sustain changes and foster continuous improvement within the organisation.

This course is ideal for professionals seeking to enhance their Six Sigma expertise and lead high-impact projects in process optimisation and quality improvement across various industries.

• Process Improvement Managers
• Quality Control Analysts
• Operations Managers
• Project Managers
• Data Analysts
• Lean Six Sigma Practitioners
• Business 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
   

Module 17: Lessons from Queue Theory

• Overview
• Understanding Gauge R&R
• Minitab Walkthrough