The Certified Six Sigma Black Belt (CSSBB)

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The ASQ Certified Six Sigma Black Belt

The Certified Six Sigma Black Belt (CSSBB) is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools. A Black Belt should demonstrate team leadership, understand team dynamics, and assign team member roles and responsibilities. Black Belts have a thorough understanding of all aspects of the DMAIC model in accordance with Six Sigma principles. They have basic knowledge of lean enterprise concepts, are able to identify nonvalue-added elements and activities, and are able to use specific tools.

Who should attend ? 

You must have three years of work experience, in one or more areas of the Six Sigma Black Belt Body of Knowledge.

Course Topics:

I. Organization-Wide Planning and Deployment

Chapter 1 (Organization wide considerations):

Fundamentals of  Six Sigma and Lean Methodologie

Six Sigma , Lean and Continuous improvement Methodologies

Relationships between Systems and Processes

Strategic planning and deployment for initiatives

Chapter 2 (Leadership):

Roles and responsibilities under Six Sigma

Organizational roadblocks and change management 

II. Organizational Process Management and Measures

Chapter 3 (Stakeholders)

Chapter 4 (Benchmarking)

Chapter 5 (Business measures):

Balanced scorecard

Key performance indicators

Customer loyalty

Common financial measures

Cost of Quality

III. Team Management

Chapter 6 (Team formation)

Chapter 7 (Team facilitation)

Chapter 8 (Team dynamics)

Chapter 9 (Team training)

IV. Define

Chapter 10 (Voice of customer):

Customer identification and Customer requirements

Quality function deployment , SIPOC and Kano model

Chapter 11 (Project charter and business case)

Chapter 12 (Project management tools)

Chapter 13 (Analytical tools)

V. Measure

Chapter 14 (Process characteristics):

Process flow metrics and process analysis tools

Chapter 15 (Data collection):

Data types and Measurement scales


Chapter 16 (Measurement system):

Measurement systems


Chapter 17 (Basic statistics)

Chapter 18 (Probability):

Basic concepts


Chapter 19 (Process capability)

VI. Analyze

Chapter 20 (X and Y relationship)

Chapter 21 (Hypothesis testing):

Testing concept and types of errors

Point estimators and confidence intervals

Test for mean

Test for variance 

Chapter 22 (Failure mode and effects analysis)

Chapter 23 (Additional analysis methods)

VII. Improve

Chapter 24 (Design of experiments):

Basic concepts

Full and fractional factorial designs

One and Two way ANOVA

Blocking and resolution

Design for X

Robust design

Chapter 25 (Lean methods)

Chapter 26 (Implementation)

VIII. Control

Chapter 27 (Statistical process control):

Types of variation

Rational sub grouping

Continuous data control charts

Discrete data control charts

Out of control conditions

Chapter 28 (Other control tools)

Chapter 29 (Maintain improvements)

Chapter 30 (Sustain improvements)

IX. Design for Six Sigma (DFSS) Framework and Methodologies

Chapter 31 (Common DFSS methodologies )

Chapter 32 (Design for X)

Chapter 33 (Robust designs)

Chapter 34 (Retained Knowledge)



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