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  • 21 hours of high-quality e-learning content
  • 6 chapter-end quizzes
  • 3 Lean Six Sigma Black Belt simulation exams
  • Course completion certificate
  • IASSC exam fee not included
  • 35 PDUs offered

Course description

  • What are the course objectives?

    The Lean Six Sigma Black Belt (LSSBB) Certification is designed to help you master the combined concepts of Lean and Six Sigma methodologies. Lean Six Sigma has emerged as a popular business management strategy applied to projects globally. It helps a company achieve process excellence initiatives, accelerate product delivery, improve product quality, and drive increased profits to an organization. Lean Six Sigma Black Belt certification demonstrates one’s ability to deploy these skills in enterprise-wide projects
     
    Our Six Sigma Black Belt training and certification program is modeled on the Body of Knowledge (BOK) of the American Society of Quality (ASQ), with cutting-edge and real-life applications integrated with the training section.
     
    Once the Lean Six Sigma Black Belt training is complete, participants will be able to implement the concepts of Lean, Design for Six Sigma (DFSS), Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC) and Total Productive Maintenance (TPM) using statistical tools and analysis.

  • What skills will you learn?

    At the end of Simplilearn’s Lean Six Sigma Black Belt training, you will gain knowledge of the following:
     

    • Apply Lean concepts such as 5S, waste reduction, process mapping, value stream mapping and mistake proofing.
    • Apply basic and more advanced statistical analyses to determine the relationship between key inputs and process outputs.
    • Effectively manage team dynamics and understand how to work with multiple levels of leadership to remove barriers and achieve project success.
    • Close projects and hand over control to process owners.
    • Present projects to instructors, peers and managers.

  • What career benefits are in store for you?

    Becoming certified in Lean Six Sigma Black Belt can open up a plethora of new career opportunities and an hefty increase in salary. Those who are trained in this methodology are highly respected and sought after in their field. Lean Six Sigma Black Belt training gives dedicated professionals a fast track to a more successful career. This certification:  
     
    Demonstrates your ability to apply highly complex enterprise- wide DMAIC projects.
    Positions you to integrate Lean Six Sigma as a long-term continuous improvement philosophy in you organization.
    Improves your ability to employ problem solving and business know-how on the job to enhance internal processes.
     
    According to recent surveys by sixsigma.com, the median salary for certified professionals in this field is approximately $83,107 per year and can go as high as $175,000.

  • Who should take this course?

    Simplilearn’s course in Lean Six Sigma Black Belt is designed to meet the requirements of the following categories of professionals:

    • Senior Management (especially if the company intends to implement Lean Six Sigma)
    • Team Leaders
    • Software Professionals
    • Project Managers
    • Quality Assurance Engineers
    • Software Quality Assurance Team Members
    • Management Students

Course preview

    • Section 00 - Six Sigma Black Belt 07:12
      • 0.1 Welcome00:09
      • 0.2 Six Sigma Black Belt00:32
      • 0.3 Agenda00:48
      • 0.4 What is SSBB01:43
      • 0.5 Accreditation Institute01:18
      • 0.6 Target Audience00:48
      • 0.7 SSBB Exam Format00:56
      • 0.8 Simplilearn LSSBB Course Offer00:53
      • 0.9 Thank You00:05
    • Section 01 - Overview 1:57:45
      • 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 Improvement02:23
      • 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 Summary01:12
      • 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 Genbutsu01:37
      • 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 You00:05
    • Section 02 - DFSS, Pre-define and Define (DMAIC) 1:27:05
      • 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 You00:03
    • Section 03 - Measure 2:00:10
      • 3.1 Measure00:11
      • 3.2 Introduction to MEASURE00:22
      • 3.3 Agenda02:00
      • 3.4 Pre Measure Considerations and Tools00:20
      • 3.5 Agenda00:13
      • 3.6 Define Phase Toll Gate Review01:08
      • 3.7 DFMEA01:14
      • 3.8 DFMEA(Contd.)00:52
      • 3.9 DFMEA(Contd.)00:20
      • 3.10 DFMEA(Contd.)00:20
      • 3.11 DFMEA(Contd.)01:19
      • 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.)00:33
      • 3.15 Cause and Effect Matrix(CE Matrix)(Contd.)00:30
      • 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 Agenda00:20
      • 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.)00:16
      • 3.27 Metrics00:55
      • 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 Summary00:24
      • 3.34 Central Tendency and Dispersion00:15
      • 3.35 Agenda00:34
      • 3.36 Central Tendency and Dispersion Introduction00:57
      • 3.37 Mean00:33
      • 3.38 Mean(Contd.)01:16
      • 3.39 Median00:49
      • 3.40 Mode01:11
      • 3.41 Range01:22
      • 3.42 Variance01:01
      • 3.43 Standard Deviation00:53
      • 3.44 Mean Deviation00:43
      • 3.45 Summary00:25
      • 3.46 Measurement System Analysis00:19
      • 3.47 Agenda00:53
      • 3.48 Purpose of Measurement System Analysis00:49
      • 3.49 Measurement System Errors00:59
      • 3.50 Measurement System Errors(Contd.)00:24
      • 3.51 Measurement System Errors(Contd.)00:57
      • 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.)01:29
      • 3.57 Measurement System Analysis Process Flow00:46
      • 3.58 Part Variation00:49
      • 3.59 Measurement System Analysis Formulas01:20
      • 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.)00:26
      • 3.64 Measurement Systems Analysis Graphs(Contd.)00:56
      • 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.)00:23
      • 3.74 Attribute RR(Contd.)00:27
      • 3.75 Attribute RR(Contd.)01:13
      • 3.76 When to Do Measurement System Analysis00:33
      • 3.77 Data Collection Plan01:17
      • 3.78 Data Collection Plan Template and Example00:41
      • 3.79 Summary00:39
      • 3.80 Stability Conditions00:15
      • 3.81 Agenda00:36
      • 3.82 Controlled Process and Variation00:37
      • 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 SPC01:52
      • 3.87 Stability Check with Minitab00:27
      • 3.88 Stability Check with Minitab(Contd.)01:22
      • 3.89 Stability Check with Minitab(Contd.)00:57
      • 3.90 Stability Check with Minitab(Contd.)00:40
      • 3.91 Stability Check using Run Charts00:34
      • 3.92 Stability Conditions00:55
      • 3.93 Central Limit Theorem00:56
      • 3.94 Summary00:34
      • 3.95 Capability Metrics00:16
      • 3.96 Agenda00:18
      • 3.97 Process Capability Pre Considerations01:38
      • 3.98 Process Capability Pre Considerations(Contd.)00:55
      • 3.99 Process Capability Pre Considerations(Contd.)00:58
      • 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.)00:07
      • 3.103 Process Capability Pre Considerations(Contd.)
      • 3.104 Process Capability Pre Considerations(Contd.)
      • 3.105 Process Capability Pre Considerations(Contd.)00:43
      • 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 Data00:59
      • 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 Analysis01:00
      • 3.114 Non Normal Capability Analysis(Contd.)00:32
      • 3.115 Non Normal Capability Analysis(Contd.)00:29
      • 3.116 Non Normal Capability Analysis(Contd.)00:36
      • 3.117 Non Normal Capability Analysis(Contd.)01:46
      • 3.118 Non Normal Capability Analysis(Contd.)01:00
      • 3.119 Assignment01:02
      • 3.120 Summary00:43
      • 3.121 Variations Variability Capability and Process Conditions00:18
      • 3.122 Agenda00:11
      • 3.123 Variations and Variability01:31
      • 3.124 Variations and Variability(Contd.)
      • 3.125 Variations and Variability(Contd.)00:54
      • 3.126 Capability and Process Conditions01:03
      • 3.127 Summary00:10
      • 3.128 Data Distributions00:13
      • 3.129 Agenda00:33
      • 3.130 Permutations and Combinations01:19
      • 3.131 Permutations and Combinations(Contd.)01:05
      • 3.132 Frequency and Cumulative Distributions00:56
      • 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 Distribution01:22
      • 3.138 Poisson Distribution(Contd.)00:54
      • 3.139 Poisson Distribution(Contd.)01:03
      • 3.140 Normal Distribution00:49
      • 3.141 Normal Distribution(Contd.)00:58
      • 3.142 Exponential Distribution00:41
      • 3.143 Exponential Distribution01:13
      • 3.144 Summary00:23
      • 3.145 Sigma Shift Mean Shift and Reducing Variations00:08
      • 3.146 Agenda00:12
      • 3.147 Sigma Shift01:00
      • 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 Summary00:11
      • 3.152 Measure Phase Summary00:49
      • 3.153 Measure Activity Summary00:34
      • 3.154 Measure Tools Summary00:46
      • 3.155 Quiz
      • 3.156 Thank You00:03
    • Section 04 - Analyze 1:57:16
      • 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.)00:17
      • 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
      • 4.68 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.)00:54
      • 4.69 Confidence Intervals for Difference between Two Means00:44
      • 4.70 Confidence Intervals Working01:33
      • 4.71 Confidence Intervals Working(Contd.)01:26
      • 4.72 Confidence Intervals Impactors01:14
      • 4.73 Chi Square Confidence Intervals for Variances00:33
      • 4.74 Chi-Square Confidence Intervals for Variances(Contd.)01:00
      • 4.75 Z Confidence Intervals for Proportions01:02
      • 4.76 Chi Square and Probability01:07
      • 4.77 T Distribution Confidence Intervals01:12
      • 4.78 Summary00:30
      • 4.79 Lesson 5 Parametric Hypothesis Testing00:16
      • 4.80 Agenda00:42
      • 4.81 Agenda(Contd.)00:31
      • 4.82 Hypothesis Testing Objective00:55
      • 4.83 Hypothesis Testing Concepts00:35
      • 4.84 Null and Alternate Hypothesis00:56
      • 4.85 Type 1 Error01:07
      • 4.86 Type II Error01:10
      • 4.87 Significance Level (α)00:56
      • 4.88 Significance Level (α) (Contd.)00:52
      • 4.89 Type II Error (Contd.)01:02
      • 4.90 β and Power00:58
      • 4.91 P Value, and Acceptance and Rejection Conditions00:52
      • 4.92 Sample Size Determination for Tests00:54
      • 4.93 1 Sample z Test00:55
      • 4.94 1 Sample z Test(Contd.)00:48
      • 4.95 1 Sample z Test(Contd.)00:52
      • 4.96 2 Sample z test00:54
      • 4.97 f Test of Equality of Variances00:47
      • 4.98 1 Sample t Test00:53
      • 4.99 1 Sample t Test(Contd.)00:32
      • 4.100 2 Sample t Test01:03
      • 4.101 2 Sample t Test00:30
      • 4.102 2 Sample t Test00:56
      • 4.103 Paired t Test00:37
      • 4.104 Paired t Test(Contd.)00:07
      • 4.105 Paired t Test Interpretation00:57
      • 4.106 Paired t Test(Contd.)00:28
      • 4.107 Paired t Test(Contd.)00:42
      • 4.108 ANOVA00:49
      • 4.109 One Way ANOVA00:35
      • 4.110 Two Way ANOVA with Replication00:44
      • 4.111 Two Way ANOVA with Replication(Contd.)00:23
      • 4.112 Two Way ANOVA with Replication(Contd.)00:11
      • 4.113 Two Way ANOVA with Replication(Contd.)01:06
      • 4.114 Summary00:53
      • 4.115 Lesson 7 Nonparametric Hypothesis Testing00:16
      • 4.116 Agenda00:32
      • 4.117 Nonparametric Testing Conditions02:03
      • 4.118 Mann Whitney Test00:51
      • 4.119 Mann Whitney Test(Contd.)00:58
      • 4.120 1 Sample Sign00:53
      • 4.121 Wilcoxon Sign Rank Test01:08
      • 4.122 Kruskal Wallis01:10
      • 4.123 Mood’s Median01:25
      • 4.124 Friedman ANOVA00:57
      • 4.125 Friedman ANOVA(Contd.)00:53
      • 4.126 Summary01:10
      • 4.127 Lesson 8 Analyze Additionals Categorical Data and Current Reality Tree00:20
      • 4.128 Agenda00:19
      • 4.129 Categorical Data Analysis00:47
      • 4.130 Categorical Data Analysis(Contd.)00:36
      • 4.131 Categorical Data Analysis(Contd.)01:05
      • 4.132 Categorical Data Analysis(Contd.)00:48
      • 4.133 Current Reality Tree00:55
      • 4.134 Current Reality Tree(Contd.)00:13
      • 4.135 Summary00:31
      • 4.136 Activity Summary Analyze00:49
      • 4.137 Tools Summary Analyze00:40
      • 4.138 Quiz
      • 4.139 Thank You00:06
    • Section 05 - Improve 1:56:21
      • 5.1 Welcome00:07
      • 5.2 Section V Improve00:30
      • 5.3 Agenda00:35
      • 5.4 Section V Lesson 100:13
      • 5.5 Agenda00:46
      • 5.6 Pre Improve Considerations01:01
      • 5.7 Model Adequacy Checking00:56
      • 5.8 Model Adequacy Checking(Contd.)01:18
      • 5.9 Model Adequacy Checking(Contd.)00:52
      • 5.10 Multi Vari Charts01:00
      • 5.11 7M Tools02:11
      • 5.12 Activity Network Diagram01:19
      • 5.13 Point and Interval Estimation01:07
      • 5.14 Porter s Five Forces00:55
      • 5.15 Porter s Five Forces (Contd.)01:43
      • 5.16 Pugh Analysis01:20
      • 5.17 Lean 5S01:46
      • 5.18 Summary00:29
      • 5.19 Section V Lesson 2 Design of Experiments Theory00:10
      • 5.20 Agenda00:27
      • 5.21 Introduction to DOE01:08
      • 5.22 Introduction to DOE(Contd.)00:56
      • 5.23 Introduction to DOE(Contd.)00:47
      • 5.24 Introduction to DOE(Contd.)01:32
      • 5.25 Introduction to DOE(Contd.)00:52
      • 5.26 Introduction to DOE(Contd.)01:15
      • 5.27 Types of Designed Experiments01:18
      • 5.28 Main and Interaction Effects00:59
      • 5.29 Main and Interaction Effects(Contd.)00:39
      • 5.30 Main and Interaction Effects(Contd.)00:51
      • 5.31 Main and Interaction Effects(Contd.)01:07
      • 5.32 Replication00:50
      • 5.33 Randomization01:00
      • 5.34 Blocking01:04
      • 5.35 Confounding00:31
      • 5.36 Coding and other DOE Terms01:23
      • 5.37 Sum of Squares Analysis00:49
      • 5.38 Sum of Squares Analysis(Contd.)00:44
      • 5.39 Sum of Squares Analysis(Contd.)01:31
      • 5.40 Sum of Squares Analysis(Contd.)01:11
      • 5.41 Sum of Squares Analysis(Contd.)01:19
      • 5.42 Sum of Squares Analysis(Contd.)00:31
      • 5.43 Sum of Squares Analysis(Contd.)00:17
      • 5.44 Summary00:44
      • 5.45 Section V Lesson 3 Design of Experiments Practice00:32
      • 5.46 Agenda00:47
      • 5.47 Introduction to 2 Factor Factorial Design00:51
      • 5.48 Introduction to 2 Factor Factorial Design(Contd.)00:54
      • 5.49 Introduction to 2 Factor Factorial Design(Contd.)00:38
      • 5.50 2² Design00:52
      • 5.51 2² Design(Contd.)00:34
      • 5.52 2² Design(Contd.)01:15
      • 5.53 2² Design(Contd.)00:36
      • 5.54 2² Design(Contd.)00:49
      • 5.55 2² Design(Contd.)00:53
      • 5.56 2² Design(Contd.)00:37
      • 5.57 2² Design(Contd.)00:33
      • 5.58 2² Design(Contd.)00:42
      • 5.59 2² Design(Contd.)00:41
      • 5.60 2² Design(Contd.)00:25
      • 5.61 2² Design(Contd.)00:32
      • 5.62 2² Design(Contd.)00:19
      • 5.63 2² Design(Contd.)01:02
      • 5.64 2² Design(Contd.)01:16
      • 5.65 2² Design(Contd.)00:22
      • 5.66 2² Design Summary00:40
      • 5.67 General 2k Design01:13
      • 5.68 General 2k Design(Contd.)00:26
      • 5.69 General 2k Design(Contd.)01:01
      • 5.70 General 2k Design(Contd.)00:41
      • 5.71 General 2k Design(Contd.)00:29
      • 5.72 General 2k Design(Contd.)00:22
      • 5.73 General 2k Design(Contd.)00:20
      • 5.74 General 2k Design(Contd.)00:15
      • 5.75 General 2k Design(Contd.)01:01
      • 5.76 General 2k Design(Contd.)00:50
      • 5.77 Single Replicate of 2k Design01:29
      • 5.78 Half Fractional 2k-1 Design01:24
      • 5.79 Half Fractional 2k-1 Design(Contd.)00:50
      • 5.80 Half Fractional 2k-1 Design(Contd.)00:39
      • 5.81 Half Fractional 2k-1 Design(Contd.)00:25
      • 5.82 Half Fractional 2k-1 Design(Contd.)00:13
      • 5.83 Half Fractional 2k-1 Design(Contd.)01:11
      • 5.84 Half Fractional 2k-1 Design(Contd.)01:08
      • 5.85 Quarter Fractional 2k-2 Design01:09
      • 5.86 Quarter Fractional 2k-2 Design(Contd.)00:39
      • 5.87 Quarter Fractional 2k-2 Design(Contd.)01:07
      • 5.88 Quarter Fractional 2k-2 Design(Contd.)01:49
      • 5.89 3k Factorial Design01:06
      • 5.90 3k Factorial Design (Contd.)00:47
      • 5.91 Response Surface Designs00:50
      • 5.92 Response Surface Designs(Contd.)00:46
      • 5.93 Response Surface Designs(Contd.)00:13
      • 5.94 Response Surface Designs(Contd.)00:11
      • 5.95 Response Surface Designs(Contd.)00:27
      • 5.96 Response Surface Designs(Contd.)00:30
      • 5.97 Response Surface Designs(Contd.)00:12
      • 5.98 Response Surface Designs(Contd.)00:23
      • 5.99 Response Surface Designs(Contd.)01:09
      • 5.100 Nested Designs00:45
      • 5.101 Split Plot Designs Introduction01:03
      • 5.102 Taguchi's Designs00:51
      • 5.103 Taguchi's Designs (Contd.)00:49
      • 5.104 Taguchi's L4 Design00:54
      • 5.105 Taguchi's L4 Design Graphs00:14
      • 5.106 Taguchi's L8 Design00:33
      • 5.107 Taguchi's L8 Design(Contd.)00:23
      • 5.108 Taguchi's L8 Design(Contd.)00:11
      • 5.109 Taguchi's L8 Design(Contd.)00:40
      • 5.110 Plackett Burman's Design01:27
      • 5.111 Plackett Burman's Designs(Contd.)00:38
      • 5.112 Quality Function Deployment(House of Quality)01:02
      • 5.113 Summary00:37
      • 5.114 Section V Lesson 4 Brainstorming Solutions Prioritization and Cost Benefit Analysis00:12
      • 5.115 Agenda00:19
      • 5.116 Brainstorming01:01
      • 5.117 Multi Voting01:22
      • 5.118 Brainstorming Prioritization and Cost Benefit Analysis01:13
      • 5.119 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)01:18
      • 5.120 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)00:27
      • 5.121 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)00:54
      • 5.122 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)01:11
      • 5.123 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)01:18
      • 5.124 Brainstorming Prioritization and Cost Benefit Analysis(Contd.)00:52
      • 5.125 Poka Yoke01:26
      • 5.126 Summary00:29
      • 5.127 Section V Lesson 5 Piloting Validating and FMEA00:21
      • 5.128 Agenda00:27
      • 5.129 Pilot Solutions01:14
      • 5.130 Piloting Tools00:42
      • 5.131 Piloting Tools (Contd.)00:18
      • 5.132 Paired t Test00:50
      • 5.133 Paired t Test(Contd.)00:38
      • 5.134 Paired t Test Interpretations00:36
      • 5.135 Paired t Test(Contd.)00:15
      • 5.141 Failure Mode Effects Analysis(Contd.)01:03
      • 5.137 Improve Next Steps01:00
      • 5.138 Failure Mode Effects Analysis01:04
      • 5.139 Failure Mode Effects Analysis(Contd.)00:21
      • 5.140 Failure Mode Effects Analysis(Contd.)00:28
      • 5.142 Failure Mode Effects Analysis(Contd.)00:14
      • 5.143 Summary00:20
      • 5.144 Improve Activity Summary01:09
      • 5.145 Quiz
      • 5.146 Thank You00:04
    • Section 06 - Control 46:47
      • 6.1 Welcome00:07
      • 6.2 Section VI Control00:37
      • 6.3 Agenda00:25
      • 6.4 SectionVI Lesson 1 Pre Control Considerations00:11
      • 6.5 Agenda00:13
      • 6.6 Pre Control Considerations00:58
      • 6.7 Assessing the Results of Process Improvement01:17
      • 6.8 Rational Subgrouping01:36
      • 6.9 Summary00:13
      • 6.10 Section VI Lesson 2 Variables and Attributes Control Charts 00:25
      • 6.11 Agenda00:18
      • 6.12 Concepts of Variables Control Charts01:46
      • 6.13 Concepts of Variables Control Charts(Contd.)01:36
      • 6.14 Concepts of Variables Control Charts (Contd.)00:52
      • 6.15 Concepts of Variables Control Charts (Contd.)01:02
      • 6.16 Concepts of Variables Control Charts (Contd.)01:12
      • 6.17 Variables Control Charts00:43
      • 6.18 Variables Control Charts(Contd.)00:41
      • 6.19 Variables Control Charts(Contd.)00:32
      • 6.20 Variables Control Charts (Contd.)01:00
      • 6.21 Variables Control Charts (Contd.)00:37
      • 6.22 Variables Control Charts(Contd.)00:28
      • 6.23 Variables Control Charts(Contd.)00:31
      • 6.24 Variables Control Charts(Contd.)00:58
      • 6.25 Variables Control Charts(Contd.)00:38
      • 6.26 Variables Control Charts(Contd.)00:35
      • 6.27 Variables Control Charts(Contd.)00:41
      • 6.28 Variables Control Charts(Contd.)00:58
      • 6.29 Variables Control Charts(Contd.)00:46
      • 6.30 Variables Control Charts(Contd.)01:15
      • 6.31 Variables Control Charts (Contd.)01:06
      • 6.32 EWMA Charts01:12
      • 6.33 EWMA Charts(Contd.)00:30
      • 6.34 Cusum Charts00:20
      • 6.35 Attribute Control Charts01:28
      • 6.36 Attribute Control Charts(Contd.)01:08
      • 6.37 Attribute Control Charts(Contd.)00:48
      • 6.38 Attribute Control Charts (Contd.)00:31
      • 6.39 Attribute Control Charts(Contd.)00:40
      • 6.40 Attribute Control Charts(Contd.)00:38
      • 6.41 Attribute Control Charts(Contd.)00:37
      • 6.42 Summary00:23
      • 6.43 VI Lesson 3 Measurement System Analysis Control Plan and Project Closure00:12
      • 6.44 Agenda00:16
      • 6.45 Measurement System Analysis00:53
      • 6.46 Control Plan00:29
      • 6.47 Control Plan(Contd.)01:09
      • 6.48 Control Plan(Contd.)00:44
      • 6.49 Control Plan(Contd.)01:12
      • 6.50 Project Closure00:45
      • 6.51 Summary00:33
      • 6.52 Section VI Lesson 4 Introduction to Total Productive Maintenance00:08
      • 6.53 Agenda00:38
      • 6.54 Total Productive Maintenance(TPM)00:33
      • 6.55 Total Productive Maintenance(TPM)(Contd.)00:53
      • 6.56 Total Productive Maintenance(TPM)(Contd.)00:55
      • 6.57 Total Productive Maintenance(TPM)(Contd.)00:55
      • 6.58 Total Productive Maintenance(TPM)(Contd.)01:31
      • 6.59 Total Productive Maintenance(TPM)(Contd.)00:44
      • 6.60 Total Productive Maintenance(TPM)(Contd.)00:52
      • 6.61 Summary00:42
      • 6.62 Tools to Refer00:08
      • 6.63 Quiz
      • 6.64 Thank You00:03
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    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 at least $200,000 from the project.

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Specific to the need of practical application. One on end-to-end exercise helped me to relate in how to use them.

Simplilearn LSSBB (Lean Six Sigma Black Belt) training is very well structured and provides a comprehensive and detailed walk through all the topics. Simplilearn Trainer is very knowledgeable and provides a lot of real time and practical (industry related) examples. He is very Strong in the subject.Simplilearn Coordinators were excellent all through the workshop. They coordinated and provided all requirements immediately.

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