Certified Lean Six Sigma Black Belt (CLSSBB) Practice Exam

Certified Lean Six Sigma Black Belt (CLSSBB) Practice Exam

The Certified Lean Six Sigma Black Belt (CLSSBB) is an advanced certification that trains professionals to lead process improvement projects full-time using Lean and Six Sigma methodologies. Offered by GAQM, this certification focuses on the DMAIC approach—Define, Measure, Analyze, Improve, and Control—and equips individuals with the skills to analyze complex processes, eliminate inefficiencies, and achieve measurable improvements in quality and performance.

CLSSBB holders are capable of guiding teams, managing projects, and applying Six Sigma tools to solve critical business problems. They understand Lean principles, identify non-value-added activities, and can use data-driven methods to enhance organizational performance. This certification is ideal for professionals aiming for leadership roles in quality management and process improvement.

Who should take the Exam?

This exam is ideal for:

• Senior Process Improvement Specialists
• Quality Managers
• Project Managers
• Operations Managers
• Business Analysts
• Team Leaders in Improvement Initiatives
• Aspiring Lean Six Sigma Professionals

Skills Required

• Advanced Problem-Solving
• Data Analysis
• Project Leadership
• Lean Principles
• Six Sigma Tools
• Communication
• Risk and Change Management

Knowledge Gained

• DMAIC Mastery
• Lean Enterprise Concepts
• Advanced Statistical Methods
• Team Leadership
• Process Improvement Strategies
• Project Execution
• Problem Solving & Decision Making
• Continuous Improvement

Course Outline

The Certified Lean Six Sigma Black Belt (CLSSBB) Exam covers the following topics -

Domain 1 - Foundational Concepts & Strategy

• Basics of Six Sigma and Lean: History, principles, and the integration of both methodologies.
• Roles and Responsibilities: Understanding the roles of Black Belts, Green Belts, and Champions within a project.
• Project Selection & Management: Identifying potential projects, charter development, and project prioritization.
• The Voice of the Customer (VOC): Techniques to gather and interpret customer needs and expectations.

Domain 2 - Define Phase

• Problem Definition: Clearly defining the problem and project scope.
• Process Mapping: Creating visual representations like SIPOC (Suppliers, Inputs, Process, Output, Customers) and Value Stream Maps.
• Business Metrics: Understanding how to define and measure key performance indicators (KPIs) for projects.
• Quality Function Deployment (QFD): Tools for translating customer needs into product or service design.

Domain 3 - Measure Phase

• Statistical Foundations: Descriptive statistics, data types (e.g., normal, binomial, Poisson), and data distribution models.
• Measurement Systems Analysis (MSA): Ensuring the reliability and accuracy of measurement systems.
• Process Capability Analysis: Using tools like Cp, Cpk, and Pp, Ppk to assess process capability.
• Baseline Performance: Calculating and displaying the current process performance.

Domain 4 - Analyze Phase

• Root Cause Analysis: Using tools like the Fishbone diagram, 5 Whys, and Affinity Diagrams to identify causes of variation.
• Correlation and Regression: Exploring relationships between variables and building predictive models.
• Hypothesis Testing: Using various statistical tests (e.g., t-tests, chi-squared tests) to validate assumptions.
• Non-Normal Data Analysis: Techniques for handling and transforming data that doesn't follow a normal distribution.

Domain 5 - Improve Phase

• Design of Experiments (DOE): Planning and conducting experiments to find optimal process settings.
• Factorial and Fractional Factorial Designs: Advanced DOE techniques for analyzing multiple factors.
• Solutions Implementation: Planning and executing improvements.

Domain 6 - Control Phase

• Statistical Process Control (SPC): Using control charts (e.g., I-MR, X-bar and R charts) to monitor and control processes.
• Lean Controls: Implementing mistake-proofing (Poka-Yoke), Kanban, and 5S for continuous process control.
• Control Plans: Documenting procedures to ensure sustained process performance.

Domain 7 - Advanced Topics & Project Application

• Mentorship and Leadership: Guiding and mentoring junior team members.
• Strategic Management: Aligning Six Sigma projects with organizational goals.
• Software Tools: Training on statistical software and tools like advanced Excel for data analysis.