Free Download Lean Six Sigma Black Belt by GreyCampus
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 549.39 MB | Duration: 1h 27m
LSSBB
What you'll learn
Understand the objective of Lean Six Sigma and its application in process improvement.
Gain detailed knowledge of DMAIC: Define, Measure, Analyze, Improve, and Control phases in Lean Six Sigma projects.
Apply DMAIC effectively in Lean Six Sigma projects to achieve process improvements.
Identify opportunities for Lean Six Sigma projects and apply data analysis techniques to make informed decisions.
Learn hypothesis testing and its application in making data-driven inferences for process improvement.
Acquire expertise in root cause analysis and the application of various tools and techniques in Lean Six Sigma projects at an advanced level of proficiency.
Requirements
There is no mandatory eligibility requirement to sit for the LSSBB certification exam. Prior knowledge of statistics is recommended, but the required knowledge of statistics is covered in this course. Additionally, knowledge of Minitab will be beneficial but not mandatory to execute example scenarios.
Description
Lean Six Sigma Black Belt Training & CertificationBlack belt level training geared towards enabling advanced expertise in Lean Six Sigma. The course is accredited by IASSC*, and aligned to IASSC's Lean Six Sigma Black Belt Body of Knowledge.1. Course OverviewLearning ObjectivesIASSC LSSBB CertificationCourse Contents2. FoundationLean Six Sigma IntroductionSix Sigma OverviewDMAIC MethodologyLean Enterprise3. DefineDefine Phase OverviewVoice of Customer (VOC)Critical to Quality (CTQ)SIPOCStakeholder AnalysisProject Charter4. MeasureMeasure Phase OverviewAs-is Process Review (Process Definition)Data Collection and Analysis (Basic Statistics)Data Accuracy and Precision (Measurement System Analysis-MSA)Process Capability and Stability5. Analyze• Analyze Phase - Overview• Patterns of Variation• Inferential Statistics• Hypothesis Testing• Hypothesis Testing with Normal Data• Hypothesis Testing with Non-normal Data6. Improve• Improve Overview• Potential Solutions Generation• Lean Solutions/Tools• Mistake-Proofing• Select the Best Solution• Pilot Implementation• Simple Linear Regression• Multiple Regression Analysis (MRA)• Designed Experiments or Design of Experiments (DOE)• Full Factorial Experiments• Fractional Factorial Experiments7. ControlControl OverviewLean ControlsStatistical Process ControlSix Sigma Control planSimulated Exams2 simulated exams to help you experience the type of questions you would actually get in your IASSC certification exam. These are available in the Online Learning Platform and include fully worked-out solutions.
Overview
Section 1: Course Overview
Lecture 1 Lean Six Sigma and Process Issues
Lecture 2 Learning Objectives
Lecture 3 Course Contents
Section 2: Foundation
Lecture 4 Lean Six Sigma Introduction
Lecture 5 Six Sigma Overview
Lecture 6 DMAIC Methodology
Lecture 7 Lean Enterprise
Section 3: Define
Lecture 8 Define Phase Overview
Lecture 9 Voice of Customer (VOC)
Lecture 10 Critical to Quality (CTQ)
Lecture 11 SIPOC
Lecture 12 Stakeholder Analysis
Lecture 13 Project Charter
Lecture 14 Process Map Overview-1
Section 4: Measure
Lecture 15 Value Stream Mapping (VSM)
Lecture 16 Measure Phase Overview
Lecture 17 VSM - Creation
Lecture 18 As-is Process Review (Process Definition)
Lecture 19 VSM Common Metrics
Lecture 20 Data Collection and Analysis(Basic Statistics)
Lecture 21 Value Add Flow Analysis 1
Lecture 22 Data Accuracy & Precision(Measurement System Analysis-MSA)
Lecture 23 Process Capability & Stability
Section 5: Analyze
Lecture 24 Analyze Phase - Overview
Lecture 25 Patterns of Variation
Lecture 26 Inferential Statistics
Lecture 27 Hypothesis Testing
Lecture 28 Hypothesis Testing with Normal Data
Lecture 29 Example-Create Factorial Design
Lecture 30 Hypothesis Testing with Non-normal Data
Lecture 31 Example-Analyze Factorial Design-V1
Lecture 32 Example-Analyze Factorial Design-V2
Section 6: Improve
Lecture 33 Example-Analyze Factorial Design-V3
Lecture 34 Improve Overview
Lecture 35 Example-Analyze Factorial Design-V4
Lecture 36 Potential Solutions Generation
Lecture 37 Example-Factorial Plots
Lecture 38 Lean Solutions/Tools
Lecture 39 Example-Cube Plot
Lecture 40 Mistake-Proofing
Lecture 41 Example-Surface Plot
Lecture 42 Select the Best Solution
Lecture 43 Example-Contour Plot
Lecture 44 Pilot Implementation
Lecture 45 Example-Contour Plot of Cost
Lecture 46 Simple Linear Regression
Lecture 47 Example-Response Optimizer
Lecture 48 Multiple Regression Analysis (MRA)
Lecture 49 Fractional Factorial Designs
Lecture 50 Designed Experiments or Design of Experiments (DOE)
Lecture 51 Confounding effect
Lecture 52 Full Factorial Experiments
Lecture 53 Experimental Resolutions
Lecture 54 IP_EoM Summary
Section 7: Control
Lecture 55 Control Overview
Lecture 56 Lean Controls
Lecture 57 Statistical Process Control
Lecture 58 Six Sigma Control plan
Section 8: Value Adds
Lecture 59 IASSC Reference Document
Section 9: Class Deck
Lecture 60 Define Phase
Lecture 61 Measure Phase
Lecture 62 Analyze Phase
Lecture 63 Improve Phase
Lecture 64 Control Phase
Section 10: Simulated Exams
People working in the Quality Management domain. Ex- Quality System Managers, Engineers, Supervisors, Analysts, Auditors, Green Belts, Yellow Belts etc.
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