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GAQM CLSSBB-001 Exam Syllabus

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Before starting your CLSSBB-001 exam preparation, it is recommended to review the complete GAQM Certified Lean Six Sigma Black Belt (CLSSBB) exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free CLSSBB-001 questions. We also provide premium CLSSBB-001 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

GAQM CLSSBB-001 Exam Objectives

Section Objectives
1.1 Section I – 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
1.2 Section II – 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
1.2.2 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
1.3 Section III – 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)
1.4 Section IV – 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
1.5 Section V – 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
1.6 Section VI – 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
Official Information https://gaqm.org/certifications/lean_six_sigma/clssbb

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