CLSSBB-001 Exam Information and Outline
Certified Lean Six Sigma Black Belt (CLSSBB)
CLSSBB-001 Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the official CLSSBB-001 exam objectives. This course outline serves as your roadmap, breaking down exactly which technical domains and skills will be tested. By reviewing the syllabus, you can identify your strengths and focus your study time on the areas where you need the most improvement.
The information below reflects the latest 2026 course contents as defined by GAQM. We provide this detailed breakdown to help you align your preparation with the actual exam format, ensuring there are no surprises on test day. Use this outline as a checklist to track your progress as you move through our practice question banks.
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
Exam Code: CLSSBB-001
Exam Name: Certified Lean Six Sigma Black Belt
Number of Questions: 100 Multiple Choice Questions
Passing Marks: 70% (70 out of 100 correct)
Exam Duration: 2 hours (120 Minutes)
– Organizational Roadblocks and Lean Management
- Organizational roadblocks
- Resistance Analysis
- Overview of all Continuous Improvement approaches
- Overview of Lean
- Overview of Six Sigma
- Lean Management explained — TAKT Time, Cycle Time, PCE, Lead Time, SWIP, Setup time, Changeover time
- Lean Tools explained — 5S, Kaizen, SMED, Heijunka
– Pre-define DMAIC
- DMAIC versus DFSS
- Pre-define Pre-requisites and Qualifications
- Project Prioritization Matrix
- Introduction to Enterprise Wide view versus LOB view
- NPV and IRR
- Define
- Champion’s transfer of project
- Team dynamics and facilitation
- Project Charter’s role
- SIPOC/COPIS map
- VOC/VOB/VOP
- CTQ, CTC, CTS
- VOC – CTQ Tree
- Kano Model
- Quality Function Deployment
- Baseline performance of Y
- Business Metrics for Y
- Rolled Throughput Yield (RTY)
- Statistical Definition of Six Sigma
– Measure
- Objectives of Measure Phase
- Types of Data and Data Distribution models (Normal, Binomial and Poisson Distribution discussed)
- Scales of Data
- Measures of Central Tendency
- Measures of Dispersion
- Measurement Systems Analysis
- Variables GAGE RR
- Attribute RR
- Stability Check — Importance of Stability
- Capability Check — Cp, Cpk, Cpkm explained, How to understand Attribute Capability
- Variations, Variability and Capability
- Graphical tools to understand Data distribution
- Understanding Weibull (2 Parameter, 3 Parameter and Rayleigh) Distribution
- Correlating Calculations to Business Measures
- Checking Normality of Data (Anderson Darling, Ryan Joiner and Kolmogorov Smirnov)
– Analyze
- Objectives of Analyze
- Simple Linear Regression
- Multiple Linear Regression
- Curvilinear Regression
- Fishbone Diagram
- Pareto Charts
- Demarcating Common Causes and Special Causes
- Hypothesis Tests (Parametric and Non-Parametric tests)
- Statistical Validation
– Improve
- Objectives of Improve
- Cost Benefit Analysis
- Solutions Prioritization Matrix
- Pugh Matrix
- Design of Experiments
- Introduction to DOE
- Basics of DOE
- Replication, Randomization and Blocking
- Main Effects and Interaction effects
- Full factorial experiments
- Fractional factorial experiments
- Screened Designs
- Response Surface Designs
- DOE with Regression
- DOE with example
– Control
- Taguchi’s Loss Function
- Control Charts (Variable Control Charts and Attribute Control Charts)
- Measurement System Re-analysis
- Control Plan and Project Storyboard Transfer
- Project Closure
- Introduction to Total Productive Maintenance
- Lean Process Improvement
- Lean Process Improvement
- Understanding Lean
- The Toyota Production System
- The Toyota Production System House
- The Five Critical Improvement Concepts
- Understanding Value with the Kano Model
- Types of Waste
- Creating a Lean Enterprise
- Understanding Lean
- The Plan, Do, Study, Act (PDSA) Cycle
- Using the R-DMAIC-S Model
- Lean Thinking Tools
- Kaizen Events
- Data Gathering and Mapping