Six Sigma Black Belt – AIGPE

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Six Sigma Black Belt Course Overview

This Lean Six Sigma Black Belt training and certification course is designed to help you master the combined concepts of Lean and Six Sigma. This course will help you develop an in-depth understanding of the Six Sigma phases Define, Measure, Analyze, Improve and Control (DMAIC) and how to maximize customer value while minimizing waste.

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Six Sigma Black Belt Training Key Features

100% Money Back Guarantee

63 hours of blended learning
Three Lean Six Sigma Black Belt simulation exams
35 PDUs offered and six end-of-chapter quizzes
Course completion certificate

Skills Covered

Application of Lean concepts
Advanced statistical analysis
Manage team dynamics

Benefits

Becoming certified in Lean Six Sigma Black Belt can open up a plethora of new career opportunities and an accompanying salary increase. Lean Six Sigma Black Belt training gives dedicated professionals a fast track to a more successful career in quality management and global project optimization.

Six Sigma Black Belt Course Curriculum

Eligibility

This Black Belt Six Sigma certification course is suitable for people who are senior managers, team leaders, software professionals, project managers, quality assurance engineers, and management professionals.

Pre-requisites

There are no prerequisites required in order to sit for the IASSC Certified Lean Six Sigma Black Belt Exam. To be successful during the exam, formal Lean Six Sigma training is recommended from a verified Lean Six Sigma trainer or corporate program. It is also recommended that those appearing the exam have some degree of real-world Lean Six Sigma work experience.

Course Content

Lean Six Sigma Black Belt

Section 00 – Six Sigma Black Belt

0.1 Welcome
0.2 Six Sigma Black Belt
0.3 Agenda
0.4 What is SSBB
0.5 Accreditation Institute
0.6 Target Audience
0.7 SSBB Exam Format
0.8 Simplilearn LSSBB Course Offer
0.9 Thank You

Section 01 – Overview

1.1 Welcome00:08
1.2 Overview00:26
1.3 Agenda01:19
1.4 Lesson 1 About LSSBB00:15
1.5 Agenda00:32
1.6 What is Six Sigma02:02
1.7 Six Sigma Roles and Responsibilities02:44
1.8 About SSBB01:54
1.9 LSSBB Roles and Responsibilities02:37
1.10 Summary00:55
1.11 Lesson 2 Organizational Roadblocks00:29
1.12 Agenda00:38
1.13 Traditional Organization versus Customer Driven Organization01:36
1.14 Types of Organizational Roadblocks01:21
1.15 Types of Organizational Roadblocks(Contd.)01:24
1.16 Types of Organizational Roadblocks(Contd.)01:11
1.17 Types of Organizational Roadblocks(Contd.)01:07
1.18 Types of Organizational Roadblocks(Contd.)00:59
1.19 Types of Organizational Roadblocks(Contd.)01:14
1.20 Types of Organizational Roadblocks(Contd.)01:34
1.21 Change Resistance Curve00:51
1.22 Change Resistance Curve(Contd.)01:38
1.23 Change Resistance Curve(Contd.)01:25
1.24 Common Resistance Points00:56
1.25 Common Resistance Points(Contd.)02:00
1.26 Overcoming Resistance Points01:06
1.27 Force Field Analysis00:47
1.28 Force Field Analysis(Contd.)01:13
1.29 Force Field Analysis(Contd.)01:14
1.30 Force Field Analysis(Contd.)00:55
1.31 Summary01:12
1.32 Lesson 3 Role of Communication and Selection Criteria in Black Belt00:10
1.33 Agenda00:38
1.34 Black Belt Role Summary01:05
1.35 Black Belt Communication Expectations01:51
1.36 Black Belt Selection Criteria01:05
1.37 Summary00:32
1.38 Lesson 4 Overview of Continuous Improvement00:07
1.39 Agenda00:29
1.40 Continual Improvement Process01:25
1.41 Continuous versus Continual Improvement01:20
1.42 Kaizen Continual Improvement01:43
1.43 Kaizen Continual Improvement(Contd.)02:15
1.44 Summary00:27
1.45 Lesson 5 Lean An Overview00:26
1.46 Agenda00:24
1.47 What is Lean00:46
1.48 History of Lean01:18
1.49 Principles of Lean01:19
1.50 Key Benefits of Implementing Lean01:52
1.51 Key Benefits of Implementing Lean(Contd.)00:49
1.52 Why Lean before Six Sigma01:43
1.53 Summary00:39
1.54 Lesson 6 Lean Concepts Explained00:26
1.55 Agenda00:39
1.56 Warusa Kagen01:07
1.57 Warusa Kagen(Contd.)00:51
1.58 3Ms00:59
1.59 8 Types of Waste (TIMWOODS)02:33
1.60 Mottainai01:06
1.61 Hoshin Kanri00:45
1.62 Hoshin Kanri(Contd.)00:58
1.63 Hoshin Kanri(Contd.)03:14
1.64 Takt Time01:02
1.65 Takt Time(Contd.)01:39
1.66 Cycle Time01:48
1.67 Lead Time01:31
1.68 Lead Time Assignment00:40
1.69 Lead Time Assignment(Contd.)01:32
1.70 Production Cycle Efficiency01:19
1.71 Batch Size01:05
1.72 Every Part Every Interval(EPEI)00:30
1.73 EPEI(Contd.)01:52
1.74 EPEI(Contd.)01:11
1.75 EPEI Calculation Spreadsheet00:16
1.76 Batch Size Assignment01:25
1.77 Batch Size Assignment(Contd.)01:19
1.78 Batch Size Assignment(Contd.)00:57
1.79 Batch Size Assignment(Contd.)01:21
1.80 Batch Size Assignment(Contd.)00:52
1.81 Crew Size00:54
1.82 Crew Size Assignment01:04
1.83 Crew Size Assignment(Contd.)01:06
1.84 Crew Size Assignment(Contd)01:12
1.85 Standardized Working Progress(SWIP)01:26
1.86 Summary00:46
1.87 Lesson 7 Lean Tools Explained00:20
1.88 Agenda00:19
1.89 5S00:58
1.90 5S(Contd.)00:59
1.91 5S Audit Worksheet00:16
1.92 SMED01:58
1.93 SMED(Contd.)01:23
1.94 Heijunka01:26
1.95 Heijunka An Example01:09
1.96 Genchi Genbutsu01:17
1.97 Value Stream Mapping(VSM)01:26
1.98 VSM Symbols00:24
1.99 Value Stream Mapping(Contd.)00:56
1.100 Value Stream Mapping(Contd.)03:11
1.101 Summary00:42
1.102 Quiz
1.103 Thank You

Section 02 – DFSS, Pre-define and Define (DMAIC)

2.1 Welcome00:07
2.2 Agenda00:44
2.3 DFSS Pre Define and Define(DMAIC)00:12
2.4 DFSS Design for Six Sigma and DMAIC versus DFSS00:18
2.5 Agenda00:52
2.6 Agenda(Contd.)00:36
2.7 Design for Six Sigma(DFSS)01:47
2.8 DFSS Approach to Problem Solving01:12
2.9 DMAIC Approach to Problem Solving01:09
2.10 DMAIC versus DFSS01:27
2.11 DFSS Tools00:51
2.12 Toll Gate Review00:57
2.13 Benchmarking01:15
2.14 MSA01:36
2.15 VOC01:27
2.16 Needs Vs Requirements02:17
2.17 KJ Diagram01:12
2.18 Quality Function Deployment(QFD)01:14
2.19 Kano Model02:34
2.20 Kano Model(Contd.)00:59
2.21 Kano Model(Contd.)01:42
2.22 HOQ01:02
2.23 HOQ(Contd.)01:20
2.24 HOQ(Contd.)00:14
2.25 AHP01:52
2.26 AHP(Contd.)01:03
2.27 Pugh Matrix for Concept Selection01:22
2.28 Pugh Matrix for Concept Selection(Contd.)00:52
2.29 Sample Pugh Matrix02:36
2.30 Monte Carlo Simulation01:13
2.31 Design for X01:04
2.32 Summary00:57
2.33 Lesson 2 Pre Define Activities00:12
2.34 Agenda01:08
2.35 Prerequisites of a Six Sigma Project01:14
2.36 Qualifications of a Six Sigma Project01:07
2.37 Cornerstones of a Six Sigma Project01:22
2.38 Six Sigma Deployment Cycle Plan01:49
2.39 10 Point Ongoing Project Evaluation01:07
2.40 Project Prioritization Matrix01:02
2.41 Project Prioritization Matrix(Contd.)01:31
2.42 Enterprise Wide versus LOB View01:10
2.43 Enterprise Wide Roles and Responsibilities01:23
2.44 NPV(Net Present Value)02:07
2.45 Internal Rate of Return(IRR)01:06
2.46 NPV and IRR An Example
2.47 NPV and IRR An Example(Contd.)01:40
2.48 Summary00:56
2.49 Lesson 3 Define00:12
2.50 Agenda01:41
2.51 Define Key Objectives00:49
2.52 Voice of Customer01:05
2.53 Voice of Business00:55
2.54 Voice of Process00:56
2.55 VOC VOB and VOP01:02
2.56 Kano Model01:09
2.57 Assignment00:59
2.58 Translation to Project Y00:57
2.59 Quality Function Deployment01:25
2.60 Quality Function Deployment(Contd.)00:57
2.61 Quality Function Deployment An Example00:36
2.62 Process Map00:53
2.63 Y Baseline Performance01:10
2.64 Y Baseline Performance(Contd.)01:14
2.65 SIPOC00:58
2.66 Project Charter01:25
2.67 The Problem Statement and the Goal Statement01:26
2.68 RACI Matrix00:49
2.69 Business Metrics01:16
2.70 Business Metrics(Contd.)01:20
2.71 Project Deliverables01:25
2.72 Project Scheduling01:06
2.73 Team Selection01:08
2.74 Define Roles and Responsibilities01:06
2.75 Define Tools Summary00:29
2.76 Lesson 3 Summary01:37
2.77 Quiz
2.78 Thank You

Section 03 – Measure

3.1 Measure00:10
3.2 Introduction to MEASURE00:22
3.3 Agenda01:59
3.4 Pre Measure Considerations and Tools00:19
3.5 Agenda00:12
3.6 Define Phase Toll Gate Review01:07
3.7 DFMEA01:14
3.8 DFMEA(Contd.)00:51
3.9 DFMEA(Contd.)00:20
3.10 DFMEA(Contd.)00:19
3.11 DFMEA(Contd.)01:18
3.12 Cause and Effect Matrix(CE Matrix)01:02
3.13 Cause and Effect Matrix(Contd.)00:57
3.14 Cause and Effect Matrix(CE Matrix)(Contd.)00:32
3.15 Cause and Effect Matrix(CE Matrix)(Contd.)00:29
3.16 Cause and Effect Matrix(CE Matrix)(Contd.)00:36
3.17 Cause and Effect Matrix(Contd.)00:22
3.18 Summary00:19
3.19 Types of Data and Measurement Scales00:14
3.20 Agenda00:19
3.21 Objectives of Measure Phase01:08
3.22 What is a Process00:55
3.23 Flowcharts01:41
3.24 SIPOC01:01
3.25 SIPOC(Contd.)01:20
3.26 SIPOC(Contd.)00:15
3.27 Metrics00:54
3.28 Measurement Scales01:00
3.29 Measurement Scales(Contd.)00:42
3.30 Measurement Scales(Contd.)01:00
3.31 Types of Data01:04
3.32 Types of Data(Contd.)01:01
3.33 Summary00:23
3.34 Central Tendency and Dispersion00:14
3.35 Agenda00:33
3.36 Central Tendency and Dispersion Introduction00:57
3.37 Mean00:32
3.38 Mean(Contd.)01:16
3.39 Median00:48
3.40 Mode01:11
3.41 Range01:21
3.42 Variance01:01
3.43 Standard Deviation00:53
3.44 Mean Deviation00:43
3.45 Summary00:25
3.46 Measurement System Analysis00:18
3.47 Agenda00:52
3.48 Purpose of Measurement System Analysis00:49
3.49 Measurement System Errors00:59
3.50 Measurement System Errors(Contd.)00:23
3.51 Measurement System Errors(Contd.)00:56
3.52 Properties of Good Measurement Systems01:07
3.53 Measurement System Errors Illustrated01:06
3.54 Measurement System Discrimination00:32
3.55 Bias00:40
3.56 Bias(Contd.)01:28
3.57 Measurement System Analysis Process Flow00:46
3.58 Part Variation00:49
3.59 Measurement System Analysis Formulas01:19
3.60 Measurement Systems Analysis Example01:00
3.61 Measurement Systems Analysis Example(Contd.)00:07
3.62 Measurement Systems Analysis Graphs00:34
3.63 Measurement Systems Analysis Graphs(Contd.)00:25
3.64 Measurement Systems Analysis Graphs(Contd.)00:55
3.65 Assignment00:53
3.66 Attribute RR00:57
3.67 Attribute RR(Contd.)00:46
3.68 Attribute RR(Contd.)00:13
3.69 Attribute RR(Contd.)01:08
3.70 Attribute RR(Contd.)00:36
3.71 Attribute RR(Contd.)00:35
3.72 Attribute RR(Contd.)00:49
3.73 Attribute RR(Contd.)00:22
3.74 Attribute RR(Contd.)00:26
3.75 Attribute RR(Contd.)01:12
3.76 When to Do Measurement System Analysis00:32
3.77 Data Collection Plan01:17
3.78 Data Collection Plan Template and Example00:41
3.79 Summary00:38
3.80 Stability Conditions00:14
3.81 Agenda00:35
3.82 Controlled Process and Variation00:36
3.83 Special Causes of Variation01:10
3.84 Common Causes of Variation01:18
3.85 Common Causes of Variation(Contd.)01:10
3.86 Stability Introduction and SPC01:51
3.87 Stability Check with Minitab00:26
3.88 Stability Check with Minitab(Contd.)01:21
3.89 Stability Check with Minitab(Contd.)00:56
3.90 Stability Check with Minitab(Contd.)00:40
3.91 Stability Check using Run Charts00:33
3.92 Stability Conditions00:54
3.93 Central Limit Theorem00:56
3.94 Summary00:33
3.95 Capability Metrics00:15
3.96 Agenda00:18
3.97 Process Capability Pre Considerations01:38
3.98 Process Capability Pre Considerations(Contd.)00:54
3.99 Process Capability Pre Considerations(Contd.)00:57
3.100 Process Capability Pre Considerations(Contd.)01:01
3.101 Process Capability Pre Considerations(Contd.)00:59
3.102 Process Capability Pre Considerations(Contd.)00:06
3.103 Process Capability Pre Considerations(Contd.)
3.104 Process Capability Pre Considerations(Contd.)
3.105 Process Capability Pre Considerations(Contd.)00:42
3.106 Process Capability Indices for Continuous Data00:51
3.107 Process Capability Indices for Continuous Data(Contd.)01:12
3.108 Process Capability Indices for Continuous Data(Contd.)00:45
3.109 Process Capability Indices Interpretation00:47
3.110 Process Capability for Discrete Data00:58
3.111 Process Capability for Discrete Data(Contd.)00:22
3.112 Process Capability for Discrete Data(Contd.)00:14
3.113 Non Normal Capability Analysis00:59
3.114 Non Normal Capability Analysis(Contd.)00:32
3.115 Non Normal Capability Analysis(Contd.)00:28
3.116 Non Normal Capability Analysis(Contd.)00:35
3.117 Non Normal Capability Analysis(Contd.)01:46
3.118 Non Normal Capability Analysis(Contd.)00:59
3.119 Assignment01:01
3.120 Summary00:42
3.121 Variations Variability Capability and Process Conditions00:17
3.122 Agenda00:11
3.123 Variations and Variability01:30
3.124 Variations and Variability(Contd.)
3.125 Variations and Variability(Contd.)00:53
3.126 Capability and Process Conditions01:03
3.127 Summary00:09
3.128 Data Distributions00:13
3.129 Agenda00:32
3.130 Permutations and Combinations01:17
3.131 Permutations and Combinations(Contd.)01:04
3.132 Frequency and Cumulative Distributions00:55
3.133 Binomial Distribution00:55
3.134 Binomial Distribution(Contd.)01:29
3.135 Binomial Distribution(Contd.)00:35
3.136 Binomial Distribution(Contd.)00:40
3.137 Poisson Distribution01:21
3.138 Poisson Distribution(Contd.)00:54
3.139 Poisson Distribution(Contd.)01:03
3.140 Normal Distribution00:48
3.141 Normal Distribution(Contd.)00:58
3.142 Exponential Distribution00:41
3.143 Exponential Distribution01:13
3.144 Summary00:22
3.145 Sigma Shift Mean Shift and Reducing Variations00:07
3.146 Agenda00:12
3.147 Sigma Shift00:59
3.148 Mean Shift or Reducing Variations01:19
3.149 Mean Shift or Reducing Variations(Contd.)00:48
3.150 Baseline Data00:28
3.151 Summary00:10
3.152 Measure Phase Summary00:48
3.153 Measure Activity Summary00:33
3.154 Measure Tools Summary00:46
3.155 Quiz
3.156 Thank You

Section 04 – Analyze

4.1 Welcome00:11
4.2 Analyze00:19
4.3 Agenda01:59
4.4 Lesson 1 Pre Analyze Considerations00:16
4.5 Agenda00:28
4.6 Analyze Phase Introduction00:18
4.7 Pre Analyze Considerations01:04
4.8 Pre Analyze Considerations(Contd.)00:39
4.9 Objectives of Analyze00:55
4.10 Visually Displaying Data01:58
4.11 Summary00:34
4.12 Lesson 2 Value Stream Analysis00:18
4.13 Agenda00:26
4.14 Value Waste and NVA Activities01:14
4.15 What is a Value Stream01:25
4.16 Value Stream Example01:09
4.17 Value Stream Analysis Muda01:08
4.18 Value Stream Analysis Muda(Contd.)01:31
4.19 Value Stream Map00:16
4.20 Value Stream Map(Contd.)01:18
4.21 Spaghetti Charts01:21
4.22 Spaghetti Chart As Is00:21
4.23 Spaghetti Chart Should Be00:27
4.24 Spaghetti Charts(Contd.)00:32
4.25 Summary00:17
4.26 Lesson 3 Sources of Variation00:07
4.27 Agenda00:27
4.28 Sources of Variation02:01
4.29 Sources of Variation(Contd.)01:05
4.30 Cause and Effect Diagram01:23
4.31 Cause and Effect Diagram(Contd.)00:31
4.32 Cause and Effect Diagram(Contd.)00:49
4.33 Cause and Effect Diagram(Contd.)00:14
4.34 Affinity Diagram01:35
4.35 Box Plot01:16
4.36 Box Plot (Contd.)00:13
4.37 Box Plot(Contd.)00:28
4.38 Box Plot(Contd.)01:09
4.39 Box Plot(Contd.)00:21
4.40 Summary00:24
4.41 Lesson 4 Regression00:15
4.42 Agenda00:31
4.43 Objectives of Regression Analysis01:05
4.44 Concepts of Regression Analysis01:17
4.45 Concepts of Regression Analysis(Contd.)01:17
4.46 Simple Linear Regression01:14
4.47 Simple Linear Regression(Contd.)00:25
4.48 Simple Linear Regression(Contd.)01:48
4.49 Simple Linear Regression(Contd.)00:53
4.50 Simple Linear Regression(Contd.)00:31
4.51 Simple Linear Regression(Contd.)01:13
4.52 Multiple Linear Regression01:05
4.53 Multiple Linear Regression(Contd.)00:22
4.54 Multiple Linear Regression(Contd.)01:53
4.55 Multiple Linear Regression(Contd.)02:05
4.56 Multiple Linear Regression(Contd.)00:30
4.57 Multiple Linear Regression(Contd.)01:41
4.58 Multiple Linear Regression(Contd.)00:50
4.59 Multiple Linear Regression(Contd.).mp401:16
4.60 Multiple Linear Regression(Contd.)00:52
4.61 Best Subsets Regression and Stepwise Regression01:03
4.62 Summary00:26
4.63 Lesson 5 Confidence Intervals00:12
4.64 Agenda00:40
4.65 Concepts of Confidence Intervals and Confidence Intervals Testing01:16
4.66 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)00:46
4.67 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)01:11
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