Certified Lean Six Sigma Black Belt (CLSSBB)®
Certified Lean Six Sigma Black Belts (CLSSBB®) are professionals trained in advanced Lean Six Sigma methodology who lead improvement projects and mentor team members. Operating under Master Black Belts, they focus on project execution, leadership, and applying the DMAIC (Define, Measure, Analyze, Improve, Control) framework.
A CLSSBB® has deep knowledge of Six Sigma philosophies, Lean enterprise concepts, team leadership, and statistical analysis tools. They play a critical role in identifying inefficiencies, driving process improvements, and ensuring sustainable business performance.
Course Details
E-Course Duration: 35 to 40 Hours
Exam Pattern: 100 Multiple Choice Questions (80% passing – 80 out of 100 correct)
Exam Duration: 2 Hours (120 minutes)
Exam Format: Online, non-proctored, available anytime within 8 months
Exam Attempts: 2 attempts with each voucher (additional vouchers available if required)
Certification Validity: Lifetime
Course Outline
Section I – Organizational Roadblocks and Lean Management
Organizational Roadblocks & Resistance Analysis
Continuous Improvement Approaches (Lean & Six Sigma Overview)
Lean Management Concepts — TAKT Time, Cycle Time, PCE, Lead Time, SWIP, Setup Time, Changeover Time
Lean Tools — 5S, Kaizen, SMED, Heijunka
Section II – Pre-Define DMAIC & Define
DMAIC vs DFSS
Project Prioritization Matrix
Enterprise-wide vs LOB View, NPV & IRR
Project Charter, Team Dynamics, Champion’s Transfer of Project
SIPOC/COPIS Map, VOC/VOB/VOP, CTQ/CTS/CTC
VOC–CTQ Tree, Kano Model, Quality Function Deployment
Baseline Performance, Business Metrics for Y, Rolled Throughput Yield (RTY)
Statistical Definition of Six Sigma
Section III – Measure
Objectives of Measure Phase
Data Types & Distribution Models (Normal, Binomial, Poisson)
Measures of Central Tendency & Dispersion
Measurement Systems Analysis (GAGE RR, Attribute RR)
Stability & Capability Checks (Cp, Cpk, Cpkm, Attribute Capability)
Data Distribution Tools & Normality Checks (Anderson Darling, Ryan Joiner, Kolmogorov Smirnov)
Weibull Distributions & Business Correlation
Section IV – Analyze
Regression Analysis (Simple, Multiple, Curvilinear)
Fishbone Diagram, Pareto Charts
Common vs Special Cause Analysis
Hypothesis Testing (Parametric & Non-Parametric)
Statistical Validation
Section V – Improve
Cost-Benefit Analysis & Solution Prioritization (Pugh Matrix)
Design of Experiments (DOE): Basics, Replication, Randomization, Blocking
Main & Interaction Effects
Full & Fractional Factorial Experiments
Response Surface Designs, DOE with Regression, Practical Examples
Section VI – Control
Taguchi’s Loss Function
Control Charts (Variable & Attribute)
Measurement System Re-Analysis
Control Plan & Project Closure
Total Productive Maintenance (TPM)
Lean Process Improvement
Lean Process Improvement (Advanced Concepts)
Toyota Production System & TPS House
Five Critical Improvement Concepts
Kano Model for Value Understanding
Identifying Waste & Creating Lean Enterprises
PDSA Cycle, R-DMAIC-S Model
Lean Thinking Tools & Kaizen Events
Data Gathering & Mapping
Target Audience
This certification is ideal for professionals leading process improvement initiatives across industries such as:
Manufacturing, Operations, Logistics, and Quality
Customer Service, Sales, and Marketing
Healthcare and Education
IT, Engineering, and Safety Management
Project Managers and Team Leaders seeking advanced Six Sigma mastery
