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Black Belt


Certified Lean Six Sigma Black Belt (CLSSBB)

Certified Six Sigma Black Belts demonstrate detailed understanding of Six Sigma techniques and tools. They are also able to provide team leadership and mentoring for Six Sigma team members.

They are the experts responsible for leading DFSS (Design for Six Sigma) projects and teams on a full time basis, have competence and expertise in implementing the DMAIC model in line with Six Sigma

Principles have a basic knowledge of lean enterprise concepts, and they can quickly identify “non-value-added” activities.

Our Six Sigma Black Belt training will help participants:

  • Understand the tools and criteria for setting business metrics
  • Understand Process Capability
  • Get advanced study of the DMAIC and DFSS
  • Understand Six Sigma tools
  • Know how to select and sustain Six Sigma projects in organizations
  • Appreciate Lean Management
  • Analyze the sources of variation
  • Understand various Risk Assessment Tools and Business Process Control Planning

*** This course also covers all the materials from the Green and Yellow Belt certification

As the course involves the use of statistical tools, some foundational knowledge of statistics is required.

Participants will be required to undertake and complete a Six Sigma Black Belt project before certification.

Lean Six Sigma Black Belt


Comprehensive and authorised training and exam preparation course to achieve your Black Belt Certification with the International Association of Six Sigma Certification (IASSC) – the most highly regarded independent global benchmark for Six Sigma Certification.

The Lean Six Sigma Black Belt Certification Training Course provides you with an in-depth understanding of Six Sigma fundamentals and advanced phases. This course is designed to prepare you to implement and manage Six Sigma Projects in the workplace and pass the IASSC Certification exam.


This Lean Six Sigma Black Belt Training is 6 to 10-days of comprehensive theory and practical application using advanced statistical analysis and modeling. Whilst there is no formal pre-requisite (you don’t have to be Yellow or Green Belt to enrol in this course), people with prior experience and advanced mathematical competencies will also find the course appropriate to their level of knowledge.

Upon completion of this course you will have covered all the materials and concepts required to drive significant change within any organisation, and have practiced the skills required to successfully pass the stringent IASSC Certification exam.

You’ll learn from the best in the business; Black Belts and Master Black Belts who will share their decades of experience with you.

Attend this comprehensive, 6 to10-day course and you’ll be ready to take your career to the next level!


During this course, you will develop the:

Understanding and implementation of the concepts of Six Sigma
Ability to plan projects to achieve maximum process efficiency
Capability to recognise elements of waste and countering them
Skills to measure key aspects of a process to collect relevant data
Ability to create a process map
Ability to identify and measure process capability
Ability to analysis data accurately to find cause-and-effect relationship and identify the root cause of errors
Hypothesis testing knowledge
Ability to improve processes based on analysis
Understanding of how to use various industry models for process improvement
Ability to control processes
Ability to ensure errors are removed before they can damage a process
Understanding of capability analysis
Understanding and use of lean
Skills to control processes, productivity and waste

Course Outline

LSS Black Belt Define Phase

Phase Description:

The Define Phase of the DMAIC methodology is constructed to introduce the core fundamentals of Six Sigma. There are 5 modules in this phase:

Understanding Six Sigma

Describe the objectives of Six Sigma
Describe the relationship between variation and sigma
Recognize some Six Sigma concepts
Recognize the Six Sigma implementation model
Describe your role and responsibilities in Six Sigma
Six Sigma Fundamentals

Describe what is meant by “Process Focus”
Describe the importance of VOC, VOB, and VOE, and CTQ’s
Explain COPQ
Generate a Process Map
Describe the Basic Six Sigma metrics
Explain the difference between FTY and RTY
Explain the difference between DPU and DPMO
Selecting Projects

Utilize a structured approach to select projects
Refine and Define the problem into a Project Charter
Make an initial estimate of your project’s benefits
Elements of Waste

Have a clear understanding of the specific deliverables
Have started to develop a Project Plan to meet the deliverables
Have identified ways to deal with potential roadblocks
Be ready to apply the Six Sigma method through your project
Wrap Up & Action Items

LSS Black Belt Measure Phase

Phase Description:

The Measure Phase of the DMAIC methodology is constructed to introduce important Six Sigma tools for characterizing your business issues. There are 6 modules in this phase:

Welcome to Measure

Process Discovery

Create a high level Process Map
Create a Fishbone Diagram
Create an X-Y Diagram
Describe the elements of a FMEA
Explain the importance of a FMEA
Describe why each tool is important
Six Sigma Statistics

Explain the various statistics used to express location and spread of data
Describe the characteristics of a Normal Distribution
Test for Normality
Describe the difference between Special Cause and Common Cause Variation
Generate a variety of graphs for data
Measurement System Analysis

Perform the step by step methodology in Variable and Attribute MSA’s
Identify the various components of variation so corrections can be made and the gage error reduced
Recognize the differences between Repeatability, Reproducibility, Accuracy and Calibration
Process Capability

Estimate Capability for Continuous Data
Describe the impact of Non-normal Data on the analysis presented in this module for Continuous Capability
Estimate Capability for Attribute Data
Wrap Up & Action Items

LSS Black Belt Analyze Phase

Phase Description:

The Analyze Phase of the DMAIC methodology is constructed to introduce important Six Sigma tools for isolating critical factors. There are 9 modules in this phase:

Welcome to Analyze

‘X’ Sifting

Perform a Multi-Vari Analysis
Interpret and a Multi-Vari Graph
Identify when a Multi-Vari Analysis is applicable
Interpret what Skewed data looks like
Explain how data distributions become Non-normal when they are really Normal
Inferential Statistics

Explain the meaning of the term “Inferential Statistics”.
Describe the basic tenets of the Central Limit Theorem.
Describe the impact of sample size on your estimates of population parameters.
Explain Standard Error
Intro to Hypothesis Testing

Articulate the purpose of Hypothesis Testing
Explain the concepts of the Central Tendency
Be familiar with the types of Hypothesis Tests

Hypothesis Testing Normal Data Part 1

Determine appropriate sample sizes for testing Means
Conduct various Hypothesis Tests for Means
Properly Analyze Results
Hypothesis Testing Normal Data Part 2

Be able to conduct Hypothesis Testing of Variances
Understand how to Analyze Hypothesis Testing Results
Hypothesis Testing Non-Normal Data Part 1

Conduct Hypothesis Testing for equal variance
Conduct Hypothesis Testing for Medians
Analyze and interpret the results
Hypothesis Testing Non-Normal Data Part 2

Calculate and explain test for proportions
Calculate and explain contingency tests
Wrap Up & Action Items

LSS Black Belt Improve Phase

Phase Description:

The Improve Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are eight modules in this phase:

Welcome to Improve

Process Modeling Regression

Perform the steps in a Correlation and a Regression Analysis
Explain when Correlation and Regression is appropriate
Advanced Process Modeling

Perform Non-Linear Regression Analysis
Perform Multiple Linear Regression Analysis
Determine the reason for experimenting
Describe the difference between a physical model and a DOE model
Explain an OFAT experiment and its primary weakness
Shown Main Effects Plots and interactions, determine which effects and interactions may be significant
Create a Full Factorial Design

Experimental Methods

Be able to Design, Conduct and Analyze an Experiment
Full Factorial Experiments

Understand how to Create Balanced & Orthogonal Designs
Explain how Fit & Diagnose & Center Points factors into an experiment
Fractional Factorial Experiments

Explain why & how to use a Fractional Factorial Design
Create a proper Fractional Factorial Design
Analyze a proper model with aliased interactions
Wrap Up & Action Items

LSS Black Belt Control Phase

Phase Description:

The Control Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions. There are eight modules in this phase:

Welcome to Control

Advanced Experiments

Use the results of a DOE to determine how to further optimize a process using the steepest ascent/descent method
Capability Analysis

Understand the importance of Capability Analysis as it is applied in the Control Phase
Select the appropriate method for Capability Analysis based on the type of data distribution of your process
Interpret the output of MINITABTM’s Capability functions
Understand how the use for Capability Analysis may alter through the DMAIC phases
Lean Controls

Describe Lean tools
Understand how these tools can help with project sustainability
Understand how the Lean tools depends on each other
Understand how tools must document the defect prevention created in the Control Phase
Defect Controls

Describe some methods of defect prevention
Understand how these techniques can help with project sustainability
Including reducing those outliers as seen in the Advanced Process Capability section
If the vital X was identified, prevent the cause of defective Y
Understand what tools must document the defect prevention created in the Control Phase
Statistical Process Control – SPC

Describe the elements of an SPC Chart and the purposes of SPC
Understand how SPC ranks in defect prevention
Describe the 9 Step route or methodology of implementing a chart
Design subgroups if needed for SPC usage
Determine the frequency of sampling
Understand the Control Chart selection methodology
Be familiar with Control Chart parameter calculations such as UCL, LCL and the Center Line
Six Sigma Control Plans

Understand the 5 phases of the Control Plan
Aligning Systems and Structures
Wrap Up & Action Items

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