GAQM - Certified Lean Six Sigma Black Belt (CLSSBB) Exams
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In this course, you will get 4 Practice Exams with 270 Unique Questions from GAQM - Certified Lean Six Sigma Black Belt (CLSSBB) Certification Exam. Updated to latest questions on June 2022. What do you get in this course?4 Mock Tests with 67 Unique Questions in each practice test. Reliable exam reports to evaluate strengths and weaknesses270 Latest QuestionsQuestions are frequently reviewed and updated. Practice tests are created by Subject Matter Experts and the questions always stay current with the actual exam.100% verified answers. Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation. Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam****************************************************************************************************Official Certification Overview: Exam Code: CLSSBB-001Black Belts operate under Master Black Belts to apply Six Sigma methodology to specific projects. They devote 100% of their valued time to Six Sigma. They primarily focus on Six Sigma project execution and special leadership with special tasks, whereas Champions and Master Black Belts focus on identifying projects/functions for Six Sigma. Certified Lean Six Sigma Black Belt (CLSSBB) is well versed in the Lean Six Sigma Methodology who leads improvement projects, typically in a full time role. A Certified Lean Six Sigma Black Belt holder possesses a thorough understanding of all aspects within the phases of D-M-A-I-C. They understand how to perform and interpret 6 Sigma black belt tools and how to use standard principles of Lean. The Certified Lean Six Sigma Black Belt (CLSSBB) is a professional who can explain Six Sigma philosophies and principles, including supporting systems and tools. A Black Belt should demonstrate team leadership, understand team dynamics and assign team member roles and responsibilities. Black Belts have a thorough understanding of all aspects of the DMAIC model in accordance with Six Sigma principles. They have basic knowledge of Lean enterprise concepts, are able to identify non-value-added elements and activities and are able to use specific toolsExam Information: Exam Pattern: The exam comprises of 150 Multiple Choice Questions out of which the candidate needs to score 75% (112 out of 150 correct) to pass the exam. Mode of Exam: Exams are online and proctored based, using a webcam and a reliable internet connection exams can be taken anywhere and anytime. Duration of Exam: The total duration of the exam is 3 hours (180 Minutes)Closed Book: No external sources of information may be accessed during the exam held via ProctorU. Further details of the materials permitted are provided: Identification ProofScientific Calculator will be provided via ProctorU while Exam Session is in progress. Retaking Of Exam: If a Candidate does not pass the exam in the second (2nd) attempt, the candidate must wait for a period of at least fourteen (14) calendar days from the date of their attempt to retake the exam for third (3rd) time or any subsequent time. The exam can be taken any number of times. Certification Validity: The Certified Lean Six Sigma Black Belt (CLSSBB)™ Certificate is valid for life. Exam Syllabus:1.1 Section I - Organizational Roadblocks and Lean ManagementOrganizational roadblocksResistance AnalysisOverview of all Continuous Improvement approachesOverview of LeanOverview of Six SigmaLean Management explained - TAKT Time, Cycle Time, PCE, Lead Time, SWIP, Setup time, Changeover timeLean Tools explained - 5S, Kaizen, SMED, Heijunka1.2 Section II - Pre-define DMAICDMAIC versus DFSSPre-define Pre-requisites and QualificationsProject Prioritization MatrixIntroduction to Enterprise Wide view versus LOB viewNPV and IRR1.2.2 DefineChampion's transfer of projectTeam dynamics and facilitationProject Charter's roleSIPOC/COPIS mapVOC/VOB/VOPCTQ, CTC, CTSVOC - CTQ TreeKano ModelQuality Function DeploymentBaseline performance of YBusiness Metrics for YRolled Throughput Yield (RTY)Statistical Definition of Six Sigma1.3 Section III - MeasureObjectives of Measure PhaseTypes of Data and Data Distribution models (Normal, Binomial and Poisson Distribution discussed)Scales of DataMeasures of Central TendencyMeasures of DispersionMeasurement Systems AnalysisVariables GAGE RRAttribute RRStability Check - Importance of StabilityCapability Check - Cp, Cpk, Cpkm explained, How to understand Attribute CapabilityVariations, Variability and CapabilityGraphical tools to understand Data distributionUnderstanding Weibull (2 Parameter, 3 Parameter and Rayleigh) DistributionCorrelating Calculations to Business MeasuresChecking Normality of Data (Anderson Darling, Ryan Joiner and Kolmogorov Smirnov)1.4 Section IV - AnalyzeObjectives of AnalyzeSimple Linear RegressionMultiple Linear RegressionCurvilinear RegressionFishbone DiagramPareto ChartsDemarcating Common Causes and Special CausesHypothesis Tests (Parametric and Non-Parametric tests)Statistical Validation1.5 Section V - ImproveObjectives of ImproveCost Benefit AnalysisSolutions Prioritization MatrixPugh MatrixDesign of ExperimentsIntroduction to DOEBasics of DOEReplication, Randomization and BlockingMain Effects and Interaction effectsFull factorial experimentsFractional factorial experimentsScreened DesignsResponse Surface DesignsDOE with RegressionDOE with example1.6 Section VI - ControlTaguchi's Loss FunctionControl Charts (Variable Control Charts and Attribute Control Charts)Measurement System Re-analysisControl Plan and Project Storyboard TransferProject ClosureIntroduction to Total Productive MaintenanceLean Process ImprovementLean Process ImprovementUnderstanding LeanThe Toyota Production SystemThe Toyota Production System HouseThe Five Critical Improvement ConceptsUnderstanding Value with the Kano ModelTypes of WasteCreating a Lean EnterpriseUnderstanding LeanThe Plan, Do, Study, Act (PDSA) CycleUsing the R-DMAIC-S ModelLean Thinking ToolsKaizen EventsData Gathering and Mapping

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