GAQM CLSSBB-001 Exam Topics

GAQM CLSSBB-001 Exam

Certified Lean Six Sigma Black Belt (CLSSBB)

Total Questions: 300

Last Updated : 14-04-2024

What is Included in the GAQM CLSSBB-001 Exam?

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GAQM CLSSBB-001 Exam Overview :

Exam Name	Certified Lean Six Sigma Black Belt (CLSSBB)
Exam Code	CLSSBB-001
Official Information	https://gaqm.org/certifications/lean_six_sigma/clssbb
See Expected Questions	GAQM CLSSBB-001 Expected Questions in Actual Exam
Take Self-Assessment	Use GAQM CLSSBB-001 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

GAQM CLSSBB-001 Exam Topics :

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

Updates in the GAQM CLSSBB-001 Exam Topics:

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Free GAQM CLSSBB-001 Exam Questions