Lean Six Sigma Black Belt training in ARLINGTON, Virginia (VA)

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  • Lean Six Sigma Black Belt
      Section 00 - Six Sigma Black Belt Section 01 - Overview
      • 1.1 Welcome    
      • 1.2 Overview    
      • 1.3 Agenda     1:00
      • 1.4 Lesson 1 About LSSBB    
      • 1.5 Agenda     1:00
      • 1.6 What is Six Sigma     2:00
      • 1.7 Six Sigma Roles and Responsibilities     3:00
      • 1.8 About SSBB     2:00
      • 1.9 LSSBB Roles and Responsibilities     3:00
      • 1.10 Summary     1:00
      • 1.11 Lesson 2 Organizational Roadblocks    
      • 1.12 Agenda     1:00
      • 1.13 Traditional Organization versus Customer Driven Organization     2:00
      • 1.14 Types of Organizational Roadblocks     1:00
      • 1.15 Types of Organizational Roadblocks(Contd.)     1:00
      • 1.16 Types of Organizational Roadblocks(Contd.)     1:00
      • 1.17 Types of Organizational Roadblocks(Contd.)     1:00
      • 1.18 Types of Organizational Roadblocks(Contd.)     1:00
      • 1.19 Types of Organizational Roadblocks(Contd.)     1:00
      • 1.20 Types of Organizational Roadblocks(Contd.)     2:00
      • 1.21 Change Resistance Curve     1:00
      • 1.22 Change Resistance Curve(Contd.)     2:00
      • 1.23 Change Resistance Curve(Contd.)     1:00
      • 1.24 Common Resistance Points     1:00
      • 1.25 Common Resistance Points(Contd.)     2:00
      • 1.26 Overcoming Resistance Points     1:00
      • 1.27 Force Field Analysis     1:00
      • 1.28 Force Field Analysis(Contd.)     1:00
      • 1.29 Force Field Analysis(Contd.)     1:00
      • 1.30 Force Field Analysis(Contd.)     1:00
      • 1.31 Summary     1:00
      • 1.32 Lesson 3 Role of Communication and Selection Criteria in Black Belt    
      • 1.33 Agenda     1:00
      • 1.34 Black Belt Role Summary     1:00
      • 1.35 Black Belt Communication Expectations     2:00
      • 1.36 Black Belt Selection Criteria     1:00
      • 1.37 Summary     1:00
      • 1.38 Lesson 4 Overview of Continuous Improvement    
      • 1.39 Agenda    
      • 1.40 Continual Improvement Process     1:00
      • 1.41 Continuous versus Continual Improvement     1:00
      • 1.42 Kaizen Continual Improvement     2:00
      • 1.43 Kaizen Continual Improvement(Contd.)     2:00
      • 1.44 Summary    
      • 1.45 Lesson 5 Lean An Overview    
      • 1.46 Agenda    
      • 1.47 What is Lean     1:00
      • 1.48 History of Lean     1:00
      • 1.49 Principles of Lean     1:00
      • 1.50 Key Benefits of Implementing Lean     2:00
      • 1.51 Key Benefits of Implementing Lean(Contd.)     1:00
      • 1.52 Why Lean before Six Sigma     2:00
      • 1.53 Summary     1:00
      • 1.54 Lesson 6 Lean Concepts Explained    
      • 1.55 Agenda     1:00
      • 1.56 Warusa Kagen     1:00
      • 1.57 Warusa Kagen(Contd.)     1:00
      • 1.58 3Ms     1:00
      • 1.59 8 Types of Waste (TIMWOODS)     3:00
      • 1.60 Mottainai     1:00
      • 1.61 Hoshin Kanri     1:00
      • 1.62 Hoshin Kanri(Contd.)     1:00
      • 1.63 Hoshin Kanri(Contd.)     3:00
      • 1.64 Takt Time     1:00
      • 1.65 Takt Time(Contd.)     2:00
      • 1.66 Cycle Time     2:00
      • 1.67 Lead Time     2:00
      • 1.68 Lead Time Assignment     1:00
      • 1.69 Lead Time Assignment(Contd.)     2:00
      • 1.70 Production Cycle Efficiency     1:00
      • 1.71 Batch Size     1:00
      • 1.72 Every Part Every Interval(EPEI)     1:00
      • 1.73 EPEI(Contd.)     2:00
      • 1.74 EPEI(Contd.)     1:00
      • 1.75 EPEI Calculation Spreadsheet    
      • 1.76 Batch Size Assignment     1:00
      • 1.77 Batch Size Assignment(Contd.)     1:00
      • 1.78 Batch Size Assignment(Contd.)     1:00
      • 1.79 Batch Size Assignment(Contd.)     1:00
      • 1.80 Batch Size Assignment(Contd.)     1:00
      • 1.81 Crew Size     1:00
      • 1.82 Crew Size Assignment     1:00
      • 1.83 Crew Size Assignment(Contd.)     1:00
      • 1.84 Crew Size Assignment(Contd)     1:00
      • 1.85 Standardized Working Progress(SWIP)     1:00
      • 1.86 Summary     1:00
      • 1.87 Lesson 7 Lean Tools Explained    
      • 1.88 Agenda    
      • 1.89 5S     1:00
      • 1.90 5S(Contd.)     1:00
      • 1.91 5S Audit Worksheet    
      • 1.92 SMED     2:00
      • 1.93 SMED(Contd.)     1:00
      • 1.94 Heijunka     1:00
      • 1.95 Heijunka An Example     1:00
      • 1.96 Genchi Genbutsu     2:00
      • 1.97 Value Stream Mapping(VSM)     1:00
      • 1.98 VSM Symbols    
      • 1.99 Value Stream Mapping(Contd.)     1:00
      • 1.100 Value Stream Mapping(Contd.)     3:00
      • 1.101 Summary     1:00
      • 1.102 Quiz    
      • 1.103 Thank You    
      Section 02 - DFSS, Pre-define and Define (DMAIC)
      • 2.1 Welcome    
      • 2.2 Agenda     1:00
      • 2.3 DFSS Pre Define and Define(DMAIC)    
      • 2.4 DFSS Design for Six Sigma and DMAIC versus DFSS    
      • 2.5 Agenda     1:00
      • 2.6 Agenda(Contd.)     1:00
      • 2.7 Design for Six Sigma(DFSS)     2:00
      • 2.8 DFSS Approach to Problem Solving     1:00
      • 2.9 DMAIC Approach to Problem Solving     1:00
      • 2.10 DMAIC versus DFSS     1:00
      • 2.11 DFSS Tools     1:00
      • 2.12 Toll Gate Review     1:00
      • 2.13 Benchmarking     1:00
      • 2.14 MSA     2:00
      • 2.15 VOC     1:00
      • 2.16 Needs Vs Requirements     2:00
      • 2.17 KJ Diagram     1:00
      • 2.18 Quality Function Deployment(QFD)     1:00
      • 2.19 Kano Model     3:00
      • 2.20 Kano Model(Contd.)     1:00
      • 2.21 Kano Model(Contd.)     2:00
      • 2.22 HOQ     1:00
      • 2.23 HOQ(Contd.)     1:00
      • 2.24 HOQ(Contd.)    
      • 2.25 AHP     2:00
      • 2.26 AHP(Contd.)     1:00
      • 2.27 Pugh Matrix for Concept Selection     1:00
      • 2.28 Pugh Matrix for Concept Selection(Contd.)     1:00
      • 2.29 Sample Pugh Matrix     3:00
      • 2.30 Monte Carlo Simulation     1:00
      • 2.31 Design for X     1:00
      • 2.32 Summary     1:00
      • 2.33 Lesson 2 Pre Define Activities    
      • 2.34 Agenda     1:00
      • 2.35 Prerequisites of a Six Sigma Project     1:00
      • 2.36 Qualifications of a Six Sigma Project     1:00
      • 2.37 Cornerstones of a Six Sigma Project     1:00
      • 2.38 Six Sigma Deployment Cycle Plan     2:00
      • 2.39 10 Point Ongoing Project Evaluation     1:00
      • 2.40 Project Prioritization Matrix     1:00
      • 2.41 Project Prioritization Matrix(Contd.)     2:00
      • 2.42 Enterprise Wide versus LOB View     1:00
      • 2.43 Enterprise Wide Roles and Responsibilities     1:00
      • 2.44 NPV(Net Present Value)     2:00
      • 2.45 Internal Rate of Return(IRR)     1:00
      • 2.46 NPV and IRR An Example    
      • 2.47 NPV and IRR An Example(Contd.)     2:00
      • 2.48 Summary     1:00
      • 2.49 Lesson 3 Define    
      • 2.50 Agenda     2:00
      • 2.51 Define Key Objectives     1:00
      • 2.52 Voice of Customer     1:00
      • 2.53 Voice of Business     1:00
      • 2.54 Voice of Process     1:00
      • 2.55 VOC VOB and VOP     1:00
      • 2.56 Kano Model     1:00
      • 2.57 Assignment     1:00
      • 2.58 Translation to Project Y     1:00
      • 2.59 Quality Function Deployment     1:00
      • 2.60 Quality Function Deployment(Contd.)     1:00
      • 2.61 Quality Function Deployment An Example     1:00
      • 2.62 Process Map     1:00
      • 2.63 Y Baseline Performance     1:00
      • 2.64 Y Baseline Performance(Contd.)     1:00
      • 2.65 SIPOC     1:00
      • 2.66 Project Charter     1:00
      • 2.67 The Problem Statement and the Goal Statement     1:00
      • 2.68 RACI Matrix     1:00
      • 2.69 Business Metrics     1:00
      • 2.70 Business Metrics(Contd.)     1:00
      • 2.71 Project Deliverables     1:00
      • 2.72 Project Scheduling     1:00
      • 2.73 Team Selection     1:00
      • 2.74 Define Roles and Responsibilities     1:00
      • 2.75 Define Tools Summary    
      • 2.76 Lesson 3 Summary     2:00
      • 2.77 Quiz    
      • 2.78 Thank You    
      Section 03 - Measure
      • 3.1 Measure    
      • 3.2 Introduction to MEASURE    
      • 3.3 Agenda     2:00
      • 3.4 Pre Measure Considerations and Tools    
      • 3.5 Agenda    
      • 3.6 Define Phase Toll Gate Review     1:00
      • 3.7 DFMEA     1:00
      • 3.8 DFMEA(Contd.)     1:00
      • 3.9 DFMEA(Contd.)    
      • 3.10 DFMEA(Contd.)    
      • 3.11 DFMEA(Contd.)     1:00
      • 3.12 Cause and Effect Matrix(CE Matrix)     1:00
      • 3.13 Cause and Effect Matrix(Contd.)     1:00
      • 3.14 Cause and Effect Matrix(CE Matrix)(Contd.)     1:00
      • 3.15 Cause and Effect Matrix(CE Matrix)(Contd.)     1:00
      • 3.16 Cause and Effect Matrix(CE Matrix)(Contd.)     1:00
      • 3.17 Cause and Effect Matrix(Contd.)    
      • 3.18 Summary    
      • 3.19 Types of Data and Measurement Scales    
      • 3.20 Agenda    
      • 3.21 Objectives of Measure Phase     1:00
      • 3.22 What is a Process     1:00
      • 3.23 Flowcharts     2:00
      • 3.24 SIPOC     1:00
      • 3.25 SIPOC(Contd.)     1:00
      • 3.26 SIPOC(Contd.)    
      • 3.27 Metrics     1:00
      • 3.28 Measurement Scales     1:00
      • 3.29 Measurement Scales(Contd.)     1:00
      • 3.30 Measurement Scales(Contd.)     1:00
      • 3.31 Types of Data     1:00
      • 3.32 Types of Data(Contd.)     1:00
      • 3.33 Summary    
      • 3.34 Central Tendency and Dispersion    
      • 3.35 Agenda     1:00
      • 3.36 Central Tendency and Dispersion Introduction     1:00
      • 3.37 Mean     1:00
      • 3.38 Mean(Contd.)     1:00
      • 3.39 Median     1:00
      • 3.40 Mode     1:00
      • 3.41 Range     1:00
      • 3.42 Variance     1:00
      • 3.43 Standard Deviation     1:00
      • 3.44 Mean Deviation     1:00
      • 3.45 Summary    
      • 3.46 Measurement System Analysis    
      • 3.47 Agenda     1:00
      • 3.48 Purpose of Measurement System Analysis     1:00
      • 3.49 Measurement System Errors     1:00
      • 3.50 Measurement System Errors(Contd.)    
      • 3.51 Measurement System Errors(Contd.)     1:00
      • 3.52 Properties of Good Measurement Systems     1:00
      • 3.53 Measurement System Errors Illustrated     1:00
      • 3.54 Measurement System Discrimination     1:00
      • 3.55 Bias     1:00
      • 3.56 Bias(Contd.)     1:00
      • 3.57 Measurement System Analysis Process Flow     1:00
      • 3.58 Part Variation     1:00
      • 3.59 Measurement System Analysis Formulas     1:00
      • 3.60 Measurement Systems Analysis Example     1:00
      • 3.61 Measurement Systems Analysis Example(Contd.)    
      • 3.62 Measurement Systems Analysis Graphs     1:00
      • 3.63 Measurement Systems Analysis Graphs(Contd.)    
      • 3.64 Measurement Systems Analysis Graphs(Contd.)     1:00
      • 3.65 Assignment     1:00
      • 3.66 Attribute RR     1:00
      • 3.67 Attribute RR(Contd.)     1:00
      • 3.68 Attribute RR(Contd.)    
      • 3.69 Attribute RR(Contd.)     1:00
      • 3.70 Attribute RR(Contd.)     1:00
      • 3.71 Attribute RR(Contd.)     1:00
      • 3.72 Attribute RR(Contd.)     1:00
      • 3.73 Attribute RR(Contd.)    
      • 3.74 Attribute RR(Contd.)    
      • 3.75 Attribute RR(Contd.)     1:00
      • 3.76 When to Do Measurement System Analysis     1:00
      • 3.77 Data Collection Plan     1:00
      • 3.78 Data Collection Plan Template and Example     1:00
      • 3.79 Summary     1:00
      • 3.80 Stability Conditions    
      • 3.81 Agenda     1:00
      • 3.82 Controlled Process and Variation     1:00
      • 3.83 Special Causes of Variation     1:00
      • 3.84 Common Causes of Variation     1:00
      • 3.85 Common Causes of Variation(Contd.)     1:00
      • 3.86 Stability Introduction and SPC     2:00
      • 3.87 Stability Check with Minitab    
      • 3.88 Stability Check with Minitab(Contd.)     1:00
      • 3.89 Stability Check with Minitab(Contd.)     1:00
      • 3.90 Stability Check with Minitab(Contd.)     1:00
      • 3.91 Stability Check using Run Charts     1:00
      • 3.92 Stability Conditions     1:00
      • 3.93 Central Limit Theorem     1:00
      • 3.94 Summary     1:00
      • 3.95 Capability Metrics    
      • 3.96 Agenda    
      • 3.97 Process Capability Pre Considerations     2:00
      • 3.98 Process Capability Pre Considerations(Contd.)     1:00
      • 3.99 Process Capability Pre Considerations(Contd.)     1:00
      • 3.100 Process Capability Pre Considerations(Contd.)     1:00
      • 3.101 Process Capability Pre Considerations(Contd.)     1:00
      • 3.102 Process Capability Pre Considerations(Contd.)    
      • 3.103 Process Capability Pre Considerations(Contd.)    
      • 3.104 Process Capability Pre Considerations(Contd.)    
      • 3.105 Process Capability Pre Considerations(Contd.)     1:00
      • 3.106 Process Capability Indices for Continuous Data     1:00
      • 3.107 Process Capability Indices for Continuous Data(Contd.)     1:00
      • 3.108 Process Capability Indices for Continuous Data(Contd.)     1:00
      • 3.109 Process Capability Indices Interpretation     1:00
      • 3.110 Process Capability for Discrete Data     1:00
      • 3.111 Process Capability for Discrete Data(Contd.)    
      • 3.112 Process Capability for Discrete Data(Contd.)    
      • 3.113 Non Normal Capability Analysis     1:00
      • 3.114 Non Normal Capability Analysis(Contd.)     1:00
      • 3.115 Non Normal Capability Analysis(Contd.)    
      • 3.116 Non Normal Capability Analysis(Contd.)     1:00
      • 3.117 Non Normal Capability Analysis(Contd.)     2:00
      • 3.118 Non Normal Capability Analysis(Contd.)     1:00
      • 3.119 Assignment     1:00
      • 3.120 Summary     1:00
      • 3.121 Variations Variability Capability and Process Conditions    
      • 3.122 Agenda    
      • 3.123 Variations and Variability     2:00
      • 3.124 Variations and Variability(Contd.)    
      • 3.125 Variations and Variability(Contd.)     1:00
      • 3.126 Capability and Process Conditions     1:00
      • 3.127 Summary    
      • 3.128 Data Distributions    
      • 3.129 Agenda     1:00
      • 3.130 Permutations and Combinations     1:00
      • 3.131 Permutations and Combinations(Contd.)     1:00
      • 3.132 Frequency and Cumulative Distributions     1:00
      • 3.133 Binomial Distribution     1:00
      • 3.134 Binomial Distribution(Contd.)     1:00
      • 3.135 Binomial Distribution(Contd.)     1:00
      • 3.136 Binomial Distribution(Contd.)     1:00
      • 3.137 Poisson Distribution     1:00
      • 3.138 Poisson Distribution(Contd.)     1:00
      • 3.139 Poisson Distribution(Contd.)     1:00
      • 3.140 Normal Distribution     1:00
      • 3.141 Normal Distribution(Contd.)     1:00
      • 3.142 Exponential Distribution     1:00
      • 3.143 Exponential Distribution     1:00
      • 3.144 Summary    
      • 3.145 Sigma Shift Mean Shift and Reducing Variations    
      • 3.146 Agenda    
      • 3.147 Sigma Shift     1:00
      • 3.148 Mean Shift or Reducing Variations     1:00
      • 3.149 Mean Shift or Reducing Variations(Contd.)     1:00
      • 3.150 Baseline Data    
      • 3.151 Summary    
      • 3.152 Measure Phase Summary     1:00
      • 3.153 Measure Activity Summary     1:00
      • 3.154 Measure Tools Summary     1:00
      • 3.155 Quiz    
      • 3.156 Thank You    
      Section 04 - Analyze
      • 4.1 Welcome    
      • 4.2 Analyze    
      • 4.3 Agenda     2:00
      • 4.4 Lesson 1 Pre Analyze Considerations    
      • 4.5 Agenda    
      • 4.6 Analyze Phase Introduction    
      • 4.7 Pre Analyze Considerations     1:00
      • 4.8 Pre Analyze Considerations(Contd.)     1:00
      • 4.9 Objectives of Analyze     1:00
      • 4.10 Visually Displaying Data     2:00
      • 4.11 Summary     1:00
      • 4.12 Lesson 2 Value Stream Analysis    
      • 4.13 Agenda    
      • 4.14 Value Waste and NVA Activities     1:00
      • 4.15 What is a Value Stream     1:00
      • 4.16 Value Stream Example     1:00
      • 4.17 Value Stream Analysis Muda     1:00
      • 4.18 Value Stream Analysis Muda(Contd.)     2:00
      • 4.19 Value Stream Map    
      • 4.20 Value Stream Map(Contd.)     1:00
      • 4.21 Spaghetti Charts     1:00
      • 4.22 Spaghetti Chart As Is    
      • 4.23 Spaghetti Chart Should Be    
      • 4.24 Spaghetti Charts(Contd.)     1:00
      • 4.25 Summary    
      • 4.26 Lesson 3 Sources of Variation    
      • 4.27 Agenda    
      • 4.28 Sources of Variation     2:00
      • 4.29 Sources of Variation(Contd.)     1:00
      • 4.30 Cause and Effect Diagram     1:00
      • 4.31 Cause and Effect Diagram(Contd.)     1:00
      • 4.32 Cause and Effect Diagram(Contd.)     1:00
      • 4.33 Cause and Effect Diagram(Contd.)    
      • 4.34 Affinity Diagram     2:00
      • 4.35 Box Plot     1:00
      • 4.36 Box Plot(Contd.)    
      • 4.37 Box Plot(Contd.)    
      • 4.38 Box Plot(Contd.)     1:00
      • 4.39 Box Plot(Contd.)    
      • 4.40 Summary    
      • 4.41 Lesson 4 Regression    
      • 4.42 Agenda     1:00
      • 4.43 Objectives of Regression Analysis     1:00
      • 4.44 Concepts of Regression Analysis     1:00
      • 4.45 Concepts of Regression Analysis(Contd.)     1:00
      • 4.46 Simple Linear Regression     1:00
      • 4.47 Simple Linear Regression(Contd.)    
      • 4.48 Simple Linear Regression(Contd.)     2:00
      • 4.49 Simple Linear Regression(Contd.)     1:00
      • 4.50 Simple Linear Regression(Contd.)     1:00
      • 4.51 Simple Linear Regression(Contd.)     1:00
      • 4.52 Multiple Linear Regression     1:00
      • 4.53 Multiple Linear Regression(Contd.)    
      • 4.54 Multiple Linear Regression(Contd.)     2:00
      • 4.55 Multiple Linear Regression(Contd.)     2:00
      • 4.56 Multiple Linear Regression(Contd.)     1:00
      • 4.57 Multiple Linear Regression(Contd.)     2:00
      • 4.58 Multiple Linear Regression(Contd.)     1:00
      • 4.59 Multiple Linear Regression(Contd.).mp4     1:00
      • 4.60 Multiple Linear Regression(Contd.)     1:00
      • 4.61 Best Subsets Regression and Stepwise Regression     1:00
      • 4.62 Summary    
      • 4.63 Lesson 5 Confidence Intervals    
      • 4.64 Agenda     1:00
      • 4.65 Concepts of Confidence Intervals and Confidence Intervals Testing     1:00
      • 4.66 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)     1:00
      • 4.67 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)     1:00
      • 4.68 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)     1:00
      • 4.69 Confidence Intervals for Difference between Two Means     1:00
      • 4.70 Confidence Intervals Working     2:00
      • 4.71 Confidence Intervals Working(Contd.)     1:00
      • 4.72 Confidence Intervals Impactors     1:00
      • 4.73 Chi Square Confidence Intervals for Variances     1:00
      • 4.74 Chi-Square Confidence Intervals for Variances(Contd.)     1:00
      • 4.75 Z Confidence Intervals for Proportions     1:00
      • 4.76 Chi Square and Probability     1:00
      • 4.77 T Distribution Confidence Intervals     1:00
      • 4.78 Summary     1:00
      • 4.79 Lesson 5 Parametric Hypothesis Testing    
      • 4.80 Agenda     1:00
      • 4.81 Agenda(Contd.)     1:00
      • 4.82 Hypothesis Testing Objective     1:00
      • 4.83 Hypothesis Testing Concepts     1:00
      • 4.84 Null and Alternate Hypothesis     1:00
      • 4.85 Type 1 Error     1:00
      • 4.86 Type II Error     1:00
      • 4.87 Significance Level (α)     1:00
      • 4.88 Significance Level (α) (Contd.)     1:00
      • 4.89 Type II Error (Contd.)     1:00
      • 4.90 β and Power     1:00
      • 4.91 P Value, and Acceptance and Rejection Conditions     1:00
      • 4.92 Sample Size Determination for Tests     1:00
      • 4.93 1 Sample z Test     1:00
      • 4.94 1 Sample z Test(Contd.)     1:00
      • 4.95 1 Sample z Test(Contd.)     1:00
      • 4.96 2 Sample z test     1:00
      • 4.97 f Test of Equality of Variances     1:00
      • 4.98 1 Sample t Test     1:00
      • 4.99 1 Sample t Test(Contd.)     1:00
      • 4.100 2 Sample t Test     1:00
      • 4.101 2 Sample t Test     1:00
      • 4.102 2 Sample t Test     1:00
      • 4.103 Paired t Test     1:00
      • 4.104 Paired t Test(Contd.)    
      • 4.105 Paired t Test Interpretation     1:00
      • 4.106 Paired t Test(Contd.)    
      • 4.107 Paired t Test(Contd.)     1:00
      • 4.108 ANOVA     1:00
      • 4.109 One Way ANOVA     1:00
      • 4.110 Two Way ANOVA with Replication     1:00
      • 4.111 Two Way ANOVA with Replication(Contd.)    
      • 4.112 Two Way ANOVA with Replication(Contd.)    
      • 4.113 Two Way ANOVA with Replication(Contd.)     1:00
      • 4.114 Summary     1:00
      • 4.115 Lesson 7 Nonparametric Hypothesis Testing    
      • 4.116 Agenda     1:00
      • 4.117 Nonparametric Testing Conditions     2:00
      • 4.118 Mann Whitney Test     1:00
      • 4.119 Mann Whitney Test(Contd.)     1:00
      • 4.120 1 Sample Sign     1:00
      • 4.121 Wilcoxon Sign Rank Test     1:00
      • 4.122 Kruskal Wallis     1:00
      • 4.123 Mood’s Median     1:00
      • 4.124 Friedman ANOVA     1:00
      • 4.125 Friedman ANOVA(Contd.)     1:00
      • 4.126 Summary     1:00
      • 4.127 Lesson 8 Analyze Additionals Categorical Data and Current Reality Tree    
      • 4.128 Agenda    
      • 4.129 Categorical Data Analysis     1:00
      • 4.130 Categorical Data Analysis(Contd.)     1:00
      • 4.131 Categorical Data Analysis(Contd.)     1:00
      • 4.132 Categorical Data Analysis(Contd.)     1:00
      • 4.133 Current Reality Tree     1:00
      • 4.134 Current Reality Tree(Contd.)    
      • 4.135 Summary     1:00
      • 4.136 Activity Summary Analyze     1:00
      • 4.137 Tools Summary Analyze     1:00
      • 4.138 Quiz    
      • 4.139 Thank You    
      Section 05 - Improve
      • 5.1 Welcome    
      • 5.2 Section V Improve     1:00
      • 5.3 Agenda     1:00
      • 5.4 Section V Lesson 1    
      • 5.5 Agenda     1:00
      • 5.6 Pre Improve Considerations     1:00
      • 5.7 Model Adequacy Checking     1:00
      • 5.8 Model Adequacy Checking(Contd.)     1:00
      • 5.9 Model Adequacy Checking(Contd.)     1:00
      • 5.10 Multi Vari Charts     1:00
      • 5.11 7M Tools     2:00
      • 5.12 Activity Network Diagram     1:00
      • 5.13 Point and Interval Estimation     1:00
      • 5.14 Porter s Five Forces     1:00
      • 5.15 Porter s Five Forces (Contd.)     2:00
      • 5.16 Pugh Analysis     1:00
      • 5.17 Lean 5S     2:00
      • 5.18 Summary    
      • 5.19 Section V Lesson 2 Design of Experiments Theory    
      • 5.20 Agenda    
      • 5.21 Introduction to DOE     1:00
      • 5.22 Introduction to DOE(Contd.)     1:00
      • 5.23 Introduction to DOE(Contd.)     1:00
      • 5.24 Introduction to DOE(Contd.)     2:00
      • 5.25 Introduction to DOE(Contd.)     1:00
      • 5.26 Introduction to DOE(Contd.)     1:00
      • 5.27 Types of Designed Experiments     1:00
      • 5.28 Main and Interaction Effects     1:00
      • 5.29 Main and Interaction Effects(Contd.)     1:00
      • 5.30 Main and Interaction Effects(Contd.)     1:00
      • 5.31 Main and Interaction Effects(Contd.)     1:00
      • 5.32 Replication     1:00
      • 5.33 Randomization     1:00
      • 5.34 Blocking     1:00
      • 5.35 Confounding     1:00
      • 5.36 Coding and other DOE Terms     1:00
      • 5.37 Sum of Squares Analysis     1:00
      • 5.38 Sum of Squares Analysis(Contd.)     1:00
      • 5.39 Sum of Squares Analysis(Contd.)     2:00
      • 5.40 Sum of Squares Analysis(Contd.)     1:00
      • 5.41 Sum of Squares Analysis(Contd.)     1:00
      • 5.42 Sum of Squares Analysis(Contd.)     1:00
      • 5.43 Sum of Squares Analysis(Contd.)    
      • 5.44 Summary     1:00
      • 5.45 Section V Lesson 3 Design of Experiments Practice     1:00
      • 5.46 Agenda     1:00
      • 5.47 Introduction to 2 Factor Factorial Design     1:00
      • 5.48 Introduction to 2 Factor Factorial Design(Contd.)     1:00
      • 5.49 Introduction to 2 Factor Factorial Design(Contd.)     1:00
      • 5.50 22 Design     1:00
      • 5.51 22 Design(Contd.)     1:00
      • 5.52 22 Design(Contd.)     1:00
      • 5.53 22 Design(Contd.)     1:00
      • 5.54 22 Design(Contd.)     1:00
      • 5.55 22 Design(Contd.)     1:00
      • 5.56 22 Design(Contd.)     1:00
      • 5.57 22 Design(Contd.)     1:00
      • 5.58 22 Design(Contd.)     1:00
      • 5.59 22 Design(Contd.)     1:00
      • 5.60 22 Design(Contd.)    
      • 5.61 22 Design(Contd.)     1:00
      • 5.62 22 Design(Contd.)    
      • 5.63 22 Design(Contd.)     1:00
      • 5.64 22 Design(Contd.)     1:00
      • 5.65 22 Design(Contd.)    
      • 5.66 22 Design Summary     1:00
      • 5.67 General 2k Design     1:00
      • 5.68 General 2k Design(Contd.)    
      • 5.69 General 2k Design(Contd.)     1:00
      • 5.70 General 2k Design(Contd.)     1:00
      • 5.71 General 2k Design(Contd.)    
      • 5.72 General 2k Design(Contd.)    
      • 5.73 General 2k Design(Contd.)    
      • 5.74 General 2k Design(Contd.)    
      • 5.75 General 2k Design(Contd.)     1:00
      • 5.76 General 2k Design(Contd.)     1:00
      • 5.77 Single Replicate of 2k Design     1:00
      • 5.78 Half Fractiona 2k 1 Design     1:00
      • 5.79 Half Fractional 2k 1 Design(Contd.)     1:00
      • 5.80 Half Fractional 2k 1 Design(Contd.)     1:00
      • 5.81 Half Fractional 2k 1 Design(Contd.)    
      • 5.82 Half Fractional 2k 1 Design(Contd.)    
      • 5.83 Half Fractional 2k 1 Design(Contd.)     1:00
      • 5.84 Half Fractional 2k 1 Design(Contd.)     1:00
      • 5.85 Quarter Fractional 2k 2 Design     1:00
      • 5.86 Quarter Fractional 2k 2 Design(Contd.)     1:00
      • 5.87 Quarter Fractional 2k 2 Design(Contd.)     1:00
      • 5.88 Quarter Fractional 2k 2 Design(Contd.)     2:00
      • 5.89 3k Factorial Design     1:00
      • 5.90 3k Factorial Design (Contd.)     1:00
      • 5.91 Response Surface Designs     1:00
      • 5.92 Response Surface Designs(Contd.)     1:00
      • 5.93 Response Surface Designs(Contd.)    
      • 5.94 Response Surface Designs(Contd.)    
      • 5.95 Response Surface Designs(Contd.)    
      • 5.96 Response Surface Designs(Contd.)     1:00
      • 5.97 Response Surface Designs(Contd.)    
      • 5.98 Response Surface Designs(Contd.)    
      • 5.99 Response Surface Designs(Contd.)     1:00
      • 5.100 Nested Designs     1:00
      • 5.101 Split Plot Designs Introduction     1:00
      • 5.102 Taguchi s Designs     1:00
      • 5.103 Taguchi s Designs (Contd.)     1:00
      • 5.104 Taguchi s L4 Design     1:00
      • 5.105 Taguchi s L4 Design Graphs    
      • 5.106 Taguchi s L8 Design     1:00
      • 5.107 Taguchi s L8 Design(Contd.)    
      • 5.108 Taguchi s L8 Design(Contd.)    
      • 5.109 Taguchi s L8 Design(Contd.)     1:00
      • 5.110 Plackett Burman s Design     1:00
      • 5.111 Plackett Burman s Designs(Contd.)     1:00
      • 5.112 Quality Function Deployment(House of Quality)     1:00
      • 5.113 Summary     1:00
      • 5.114 Section V Lesson 4 Brainstorming Solutions Prioritization and Cost Benefit Analysis    
      • 5.115 Agenda    
      • 5.116 Brainstorming     1:00
      • 5.117 Multi Voting     1:00
      • 5.118 Brainstorming Prioritization and Cost Benefit Analysis     1:00
      • 5.119 Brainstorming Prioritization and Cost Benefit Analysis     1:00
      • 5.120 Brainstorming Prioritization and Cost Benefit Analysis    
      • 5.121 Brainstorming Prioritization and Cost Benefit Analysis     1:00
      • 5.122 Brainstorming Prioritization and Cost Benefit Analysis     1:00
      • 5.123 Brainstorming Prioritization and Cost Benefit Analysis     1:00
      • 5.124 Brainstorming Prioritization and Cost Benefit Analysis     1:00
      • 5.125 Poka Yoke     1:00
      • 5.126 Summary    
      • 5.127 Section V Lesson 5 Piloting Validating and FMEA    
      • 5.128 Agenda    
      • 5.129 Pilot Solutions     1:00
      • 5.130 Piloting Tools     1:00
      • 5.131 Piloting Tools (Contd.)    
      • 5.132 Paired t Test     1:00
      • 5.133 Paired t Test(Contd.)     1:00
      • 5.134 Paired t Test Interpretations     1:00
      • 5.135 Paired t Test(Contd.)    
      • 5.141 Failure Mode Effects Analysis(Contd.)     1:00
      • 5.137 Improve Next Steps     1:00
      • 5.138 Failure Mode Effects Analysis     1:00
      • 5.139 Failure Mode Effects Analysis(Contd.)    
      • 5.140 Failure Mode Effects Analysis(Contd.)    
      • 5.142 Failure Mode Effects Analysis(Contd.)    
      • 5.143 Summary    
      • 5.144 Improve Activity Summary     1:00
      • 5.145 Quiz    
      • 5.146 Thank You    
      Section 06 - Control
      • 6.1 Welcome    
      • 6.2 Section VI Control     1:00
      • 6.3 Agenda    
      • 6.4 SectionVI Lesson 1 Pre Control Considerations    
      • 6.5 Agenda    
      • 6.6 Pre Control Considerations     1:00
      • 6.7 Assessing the Results of Process Improvement     1:00
      • 6.8 Rational Subgrouping     2:00
      • 6.9 Summary    
      • 6.10 Section VI Lesson 2 Variables and Attributes Control Charts    
      • 6.11 Agenda    
      • 6.12 Concepts of Variables Control Charts     2:00
      • 6.13 Concepts of Variables Control Charts(Contd.)     2:00
      • 6.14 Concepts of Variables Control Charts (Contd.)     1:00
      • 6.15 Concepts of Variables Control Charts (Contd.)     1:00
      • 6.16 Concepts of Variables Control Charts (Contd.)     1:00
      • 6.17 Variables Control Charts     1:00
      • 6.18 Variables Control Charts(Contd.)     1:00
      • 6.19 Variables Control Charts(Contd.)     1:00
      • 6.20 Variables Control Charts (Contd.)     1:00
      • 6.21 Variables Control Charts (Contd.)     1:00
      • 6.22 Variables Control Charts(Contd.)    
      • 6.23 Variables Control Charts(Contd.)     1:00
      • 6.24 Variables Control Charts(Contd.)     1:00
      • 6.25 Variables Control Charts(Contd.)     1:00
      • 6.26 Variables Control Charts(Contd.)     1:00
      • 6.27 Variables Control Charts(Contd.)     1:00
      • 6.28 Variables Control Charts(Contd.)     1:00
      • 6.29 Variables Control Charts(Contd.)     1:00
      • 6.30 Variables Control Charts(Contd.)     1:00
      • 6.31 Variables Control Charts (Contd.)     1:00
      • 6.32 EWMA Charts     1:00
      • 6.33 EWMA Charts(Contd.)     1:00
      • 6.34 Cusum Charts    
      • 6.35 Attribute Control Charts     1:00
      • 6.36 Attribute Control Charts(Contd.)     1:00
      • 6.37 Attribute Control Charts(Contd.)     1:00
      • 6.38 Attribute Control Charts (Contd.)     1:00
      • 6.39 Attribute Control Charts(Contd.)     1:00
      • 6.40 Attribute Control Charts(Contd.)     1:00
      • 6.41 Attribute Control Charts(Contd.)     1:00
      • 6.42 Summary    
      • 6.43 VI Lesson 3 Measurement System Analysis Control Plan and Project Closure    
      • 6.44 Agenda    
      • 6.45 Measurement System Analysis     1:00
      • 6.46 Control Plan    
      • 6.47 Control Plan(Contd.)     1:00
      • 6.48 Control Plan(Contd.)     1:00
      • 6.49 Control Plan(Contd.)     1:00
      • 6.50 Project Closure     1:00
      • 6.51 Summary     1:00
      • 6.52 Section VI Lesson 4 Introduction to Total Productive Maintenance    
      • 6.53 Agenda     1:00
      • 6.54 Total Productive Maintenance(TPM)     1:00
      • 6.55 Total Productive Maintenance(TPM)(Contd.)     1:00
      • 6.56 Total Productive Maintenance(TPM)(Contd.)     1:00
      • 6.57 Total Productive Maintenance(TPM)(Contd.)     1:00
      • 6.58 Total Productive Maintenance(TPM)(Contd.)     2:00
      • 6.59 Total Productive Maintenance(TPM)(Contd.)     1:00
      • 6.60 Total Productive Maintenance(TPM)(Contd.)     1:00
      • 6.61 Summary     1:00
      • 6.62 Tools to Refer    
      • 6.63 Quiz    
      • 6.64 Thank You    

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FAQs

  • What are the certification requirements for LSSBB?
    • Simplilearn offers 2 levels of LSSBB Certification – Technical and Functional. The Technical Certification is offered post the trainee passing the LSSBB Certification Examination with a minimum of 60% score.

      Post certification, the trainee should submit a full-scale live DMAIC project for case review by the LSSBB faculty. On completion of successful review, the trainee will be provided with a LSSBB Functional Certification.

      A typical full scale DMAIC LSSBB project would take 8-9 months (1st Phase) to complete and the LSSBB must be able to show a projected savings of $200,000 upwards from the project.
  • Do you offer Master Black Belt Certification?
    • Completed at least 4 DMAIC projects meeting the savings pre-qualification target

      Completed at least one wave of Yellow Belt and Green Belt Training programs

      On this criterion being met, the LSSBB would need to take an online Master Black Belt module. Passing of the ensuing certification examination will result in the LSSBB being certified as a Master Black Belt.
  • Why Should I choose Simplilearn for SSBB & not others?
    • We are pioneer in the field of blended model of training. This is mix of online and classroom training to suit your specific training needs:
      1. Trained 12,000+ professionals across 115 countries
      2. Training programs to suit individual’s unique learning needs
  • Do I get Post Program Support?
    • Yes, you will get post program support through forum discussion.
  • Who will be the trainer for the classroom training?
    • Highly qualified and certified instructors with 20+ years of experience deliver classroom training.
  • How do I enroll for the classroom training?
    • You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
      1. Visa debit/credit card
      2. American express and Diners club card
      3. Master Card, or
      4. Through PayPal
  • Where will the training be held?
    • Venue is finalized few weeks before the training and you will be informed via email. You can get in touch with our 24/7 support team for more details. Email us at support@simplilearn.com. If you are looking for an instant support, you can chat with us too.
  • Do you provide transportation and refreshments along with the training?
    • We do not provide transportation or refreshments along with the training.
  • What will I get along with this training?
    • You will have online access to e-learning and practice tests along with the training.
  • Can I change the city, place, and date after enrolling for any classroom training?
    • Yes, you can change the city, place and date for any classroom training. However, a rescheduling fee is charged. For more information, please go through our Rescheduling Policy.
  • Can I cancel my enrollment? Do I get a refund?
    • Yes, you can cancel your enrollment. We provide you complete refund after deducting the administration fee. To know more please go through our Refund Policy.
  • Do you provide money back guarantee for the training programs?
    • Yes, we do provide money back guarantee for some of our training programs. You can contact support@simplilearn.com for more information.
  • Do you provide any course completion certificate?
    • Yes, we offer course completion certificate after you successfully complete the training program.
  • Do you provide any group discounts for classroom training programs?
    • Yes, we have group discount packages for classroom training programs. Contact support@simplilearn.com to know more about the group discounts.
  • Do you provide PDUs after completing the training? How many hours of PDU certificate do I get after attending the training?
    • Yes, we offer PDU certificate to candidates after successfully completing the training. You can earn 45 hours of PDU certificate after attending the training.
  • What is Six Sigma?
    • Six Sigma is a problem solving, Continuous Improvement approach, which if applied to processes, can bring about a reduction in defects by reducing variations in the process output, further resulting in improved financial profits to the company.
  • What is Lean?
    • Principally, Lean is a waste and a non-value adding elimination/reduction technique that helps in eliminating wastes (unnecessary steps) from a process and non-value adding activities (Activities that customers don’t want to pay for).
  • What is the difference between Lean Six Sigma Black Belt and Six Sigma Black Belt?
    • Lean Six Sigma Black Belt (LSSBB) Body of Knowledge will train you on Lean Management tools and Six Sigma. Post the training and certification, you would be equipped to identify areas of improvement in your organization and be skilled enough to apply Lean and Six Sigma to target improvements resulting in financial benefits.
  • Who should enroll for our LSSBB program?
    • Applied to many aspects of the business and being considered as the flagship approach to bring in increased profitability for businesses, any individual who is considered a process owner or a team leader in their organizations having a Span of Control can enroll for the LSSBB program.
  • How long will it take for me to complete the LSSBB Curriculum?
    • The 5 day training module for LSSBB will train you on the concepts. By the end of the 5 days, you would be trained enough to use the concepts and tools in your real-life applications. That being said, Six Sigma is a discipline of continual learning and practical applications. Although your course would get over in 5 days, learning continually is the key for you to gain expertise with the subject.
  • What are the pre-requisites for me to enroll for the LSSBB Curriculum?
      1. Participants must have at least two years’ experience in Quality Management role and should have worked on process improvement projects AND
      2. Participant must be a Masters in Statistics AND
      3. Participant must be a Six Sigma Green Belt Certificate Holder having shown adequate expertise handling Six Sigma tools

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Eligibility

  • Participants must be a Six Sigma Green Belt Certificate Holder

OR

  • Participants must have at least two years of experience in Quality Management role and should have worked on process improvement projects

OR

  • Participants should have good knowledge in Statistics

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Lean Six Sigma Black Belt Six Sigma Certification demonstrates one's ability to achieve process excellence initiatives, delivering increased profits to an organization. Simplilearn offers both online Certified Six Sigma Black Belt training and Lean Six Sigma Black Belt classroom training. We are accredited by ... PeopleCERT Group and our course content is aligned with ASQ Body of Knowledge.

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Arlington is a city in Tarrant County in Texas, USA. Arlington presents a cultural diversity as it has immigrants from Europe, Asia, Africa and Latin America. It is mixed economy of finance, banking, manufacturing and health care sectors. There are few Public and Private sector companies that are higher employer firms. Professionals experience good scope of career growth in diverse industries based in Arlington. Project managers and finance professionals are two of the most demanded jobs in Arlington, TX. Professional Certification Courses like PMP, CSM, CISSP and ITIL are the most widely recognized credentials in the city in United States.

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