Course description

Course preview

    • Lesson 00 - Course Overview 07:30
      • 0.1 Course Overview00:19
      • 0.2 Objectives00:44
      • 0.3 About Simplilearn's LSSGB Course00:27
      • 0.4 Course Overview01:27
      • 0.5 Target Audience and Course Prerequisites00:35
      • 0.6 Value Of LSSGB For Professionals00:43
      • 0.7 Value Of LSSGB For Organization00:35
      • 0.8 Lessons Covered00:18
      • 0.9 Exam Pattern00:39
      • 0.10 About Simplilearn's LSSGB Exam00:48
      • 0.11 Lean Six Sigma Green Belt Certification00:37
      • 0.12 Sources Of Information00:10
      • 0.13 Thank You00:08
    • Lesson 01 - Overview of Lean Six Sigma 31:13
      • 1.1 Overview of Lean Six Sigma00:43
      • 1.2 Objectives00:18
      • 1.3 Topic 1 - Six Sigma00:09
      • 1.4 Introduction to Six Sigma00:39
      • 1.5 Process01:25
      • 1.6 Process of Six Sigma
      • 1.7 List of DMAIC Tools
      • 1.8 How does Six Sigma Work00:49
      • 1.9 Six Sigma Terms
      • 1.10 Sigma Level Chart00:29
      • 1.11 Benefits of Six Sigma01:22
      • 1.12 Six Sigma and Quality00:29
      • 1.13 History of Six Sigma
      • 1.14 Six Sigma Team01:30
      • 1.15 Topic 2 - Lean Principles00:15
      • 1.16 Overview of Lean01:23
      • 1.17 History of Lean
      • 1.18 Lean Six Sigma01:26
      • 1.19 Lean vs. Six Sigma00:58
      • 1.20 Lean Concepts
      • 1.21 Lean Concepts - Process Issues00:32
      • 1.22 Seven Types of Waste02:18
      • 1.23 Other Lean Wastes00:50
      • 1.24 Identifying the Waste Type Exercise
      • 1.25 Lean Process
      • 1.26 Lean Process - Identify Value00:32
      • 1.27 Lean Process Value Stream Mapping
      • 1.28 Lean Process Flow Pull and Perfection
      • 1.29 Pull vs. Push01:08
      • 1.30 Theory of Constraints
      • 1.31 Theory of Constraints - Example01:44
      • 1.32 Theory of Constraints - Example00:31
      • 1.33 Topic 3 - Design for Six Sigma00:15
      • 1.34 Design for Six Sigma01:27
      • 1.35 DFSS Tools - Quality Function Deployment01:28
      • 1.36 DFSS Tools - Failure Modes and Effects Analysis00:47
      • 1.37 PFMEA and DFMEA00:58
      • 1.38 FMEA Risk Priority Number01:03
      • 1.39 FMEA Table01:01
      • 1.40 RPN and Scale Criteria - Severity01:20
      • 1.41 RPN and Scale Criteria - Occurrence00:41
      • 1.42 RPN and Scale Criteria - Detection00:46
      • 1.43 Example of FMEA and RPN00:53
      • 1.44 Quiz
      • 1.45 Summary00:55
      • 1.46 Thank You00:09
    • Lesson 02 - Define 56:31
      • 2.1 Define00:39
      • 2.2 Objectives00:35
      • 2.3 Topic 1 - Project Identification00:09
      • 2.4 Project Selection
      • 2.5 Process Elements
      • 2.6 SIP - Output Interaction
      • 2.7 Owners and Stakeholders00:55
      • 2.8 Identify Customer00:40
      • 2.9 Internal Customers02:09
      • 2.10 External Customers
      • 2.11 Building a Business Case00:50
      • 2.12 Building a Business Case - Details01:26
      • 2.13 Financial Evaluation and Benefits Capture01:29
      • 2.14 Financial Evaluation and Benefits Capture - Sample00:45
      • 2.15 Positive Effects of Project on Customers01:44
      • 2.16 Topic 2 - Voice of the Customer00:10
      • 2.17 Collect Customer Data01:16
      • 2.18 Questionnaire
      • 2.19 Advantages and Disadvantages of Questionnaire00:59
      • 2.20 Telephone Survey vs. Web Survey00:33
      • 2.21 Focus Group
      • 2.22 Advantages and Disadvantages of Focus Group00:52
      • 2.23 Interview
      • 2.24 Advantages and Disadvantages of Interview00:41
      • 2.25 Importance and Urgency of Various Inputs02:34
      • 2.26 Customer Complaints00:31
      • 2.27 Product Complaint vs. Expedited Service Request01:09
      • 2.28 Importance and Urgency of Various Inputs01:58
      • 2.29 Key Elements of Data Collection Tools01:10
      • 2.30 Review of Collected Data02:07
      • 2.31 Voice of Customer01:15
      • 2.32 Importance of Translating Customer Requirements00:48
      • 2.33 Critical to Quality
      • 2.34 Quality Function Deployment01:08
      • 2.35 Phases of QFD00:56
      • 2.36 Structure of QFD
      • 2.37 Post - HOQ Matrix00:33
      • 2.38 Topic 3 - Project Management Basics00:09
      • 2.39 Problem Statement00:49
      • 2.40 Project Charter
      • 2.41 Project Charter Sections00:32
      • 2.42 Project Plan01:03
      • 2.43 Deliverables of a Lean Six Sigma Project00:50
      • 2.44 Deliverables of a Lean Six Sigma (contd.)
      • 2.45 Pareto Chart01:07
      • 2.46 Pareto Charts - Example00:36
      • 2.47 Risk01:11
      • 2.48 Risk Analysis and Management
      • 2.49 Elements of Risk Analysis02:15
      • 2.50 Benefits of Risk Analysis00:59
      • 2.51 Risk Assessment Matrix00:31
      • 2.52 Six Sigma Team and their Responsibilities03:54
      • 2.53 Project Closure00:53
      • 2.54 Goals of Project Closure Report00:52
      • 2.55 Affinity Diagram02:07
      • 2.56 Interrelationship Diagram01:50
      • 2.57 Tree Diagram01:56
      • 2.58 Topic 4 - Management and Planning Tools00:09
      • 2.59 Matrix Diagram00:36
      • 2.60 Types of Matrices
      • 2.61 Defect per Unit
      • 2.62 Throughput Yield00:49
      • 2.63 Rolled Throughput Yield01:26
      • 2.64 FPY and RTY Example
      • 2.65 Topic 5 - Business Results for Projects00:10
      • 2.66 Defect per Million Opportunities
      • 2.67 Cost of Quality
      • 2.68 Quiz
      • 2.69 Summary00:47
      • 2.70 Summary00:50
      • 2.71 Thank You00:09
    • Lesson 03 - Measure 56:26
      • 3.1 Measure00:19
      • 3.2 Objectives00:39
      • 3.3 Topic 1 - Process Definition00:10
      • 3.4 Introduction to Measure Phase00:30
      • 3.5 Process Mapping00:59
      • 3.6 X-Y Diagram
      • 3.7 X-Y Diagram Template01:14
      • 3.8 Topic 2 - Descriptive and Inferential Statistics00:12
      • 3.9 Types of Statistics01:25
      • 3.10 Analytical Statistics
      • 3.11 Central Limit Theorem01:19
      • 3.12 Central Limit Theorem - Graph00:47
      • 3.13 Central Limit Theorem - Conclusions00:58
      • 3.14 Topic 3 - Collecting and Summarizing Data00:10
      • 3.15 Types of Data
      • 3.16 Selecting Data Type01:28
      • 3.17 Simple Random Sampling vs. Stratified Sampling00:44
      • 3.18 Descriptive Statistics Measures of Central Tendency
      • 3.19 Mean Median and Mode - Example
      • 3.20 Mean Median and Mode - Outliers01:08
      • 3.21 Descriptive - Statistics Measures of Dispersion00:35
      • 3.22 Measures of Dispersion - Range00:39
      • 3.23 Measures of Dispersion - Variance01:25
      • 3.24 Measures of Dispersion Standard Deviation
      • 3.25 Descriptive Statistics - Frequency Distribution01:22
      • 3.26 Cumulative Frequency Distribution02:23
      • 3.27 Graphical Methods - Stem and Leaf Plots01:38
      • 3.28 Graphical Methods - Box and Whisker Plots02:23
      • 3.29 Graphical Methods - Scatter Diagrams00:39
      • 3.30 Scatter Diagrams - Types of Correlation
      • 3.31 Graphical Methods - Histogram01:02
      • 3.32 Graphical Methods - Normal Probability Plots01:25
      • 3.33 Topic 4 - Measurement System Analysis00:14
      • 3.34 Measurement System Analysis01:05
      • 3.35 Measurement System Analysis - Objectives00:47
      • 3.36 Precision and Accuracy
      • 3.37 Precision vs. Accuracy01:08
      • 3.38 Combinations of Accuracy and Precision
      • 3.39 Bias Linearity and Stability
      • 3.40 Comparison of Variable and Attribute R and R01:14
      • 3.41 Gage Repeatability and Reproducibility00:48
      • 3.42 Components of GRR Study00:46
      • 3.43 Guidelines for GRR Studies00:48
      • 3.44 Other GRR Concepts00:57
      • 3.45 Measurement Resolution00:53
      • 3.46 Repeatability and Reproducibility01:37
      • 3.47 Data Collection in GRR00:53
      • 3.48 ANOVA Method of Analyzing GRR Studies00:42
      • 3.49 Interpretation of Measurement System Analysis00:55
      • 3.50 Gage RR Template01:26
      • 3.51 Gage RR Results Summary00:17
      • 3.52 Gage RR Interpretation01:34
      • 3.53 Topic 5 - Process Capability00:10
      • 3.54 Process Capability Analysis01:14
      • 3.55 Natural Process Limits vs. Specification Limits01:47
      • 3.56 Process Capability00:51
      • 3.57 Process Capability Indices01:18
      • 3.58 Process Capability Indices Example
      • 3.59 Capability Analysis - Cpk and Cp Interpretations01:21
      • 3.60 Process Capability Studies00:42
      • 3.61 Objectives of Process Capability Studies01:17
      • 3.62 Process Capability Studies - Identifying Characteristics00:46
      • 3.63 Process Capability for Attribute or Discrete Data00:52
      • 3.64 Process Stability Studies00:52
      • 3.65 Process Stability Studies Causes of Variation
      • 3.66 Process Stability Studies - Run Charts in Minitab00:46
      • 3.67 Verifying Process Stability and Normality00:56
      • 3.68 Monitoring Techniques00:30
      • 3.69 Quiz
      • 3.70 Summary00:46
      • 3.71 Summary (contd.)00:32
      • 3.72 Thank You00:09
    • Lesson 04 - Analyze 1:12:34
      • 4.1 Analyze00:35
      • 4.2 Objectives00:31
      • 4.3 Topic 1 - Patterns of variation00:10
      • 4.4 Classes of Distributions
      • 4.5 Types of Distribution00:32
      • 4.6 Discrete Probability Distribution00:51
      • 4.7 Binomial Distribution01:50
      • 4.8 Binomial Distribution (contd.)00:46
      • 4.9 Calculating Binomial Distribution Example
      • 4.10 Poisson Distribution01:35
      • 4.11 Poisson Distribution - Formula00:47
      • 4.12 Calculating Poisson Distribution Example
      • 4.13 Continuous Probability Distribution00:39
      • 4.14 Normal Distribution01:11
      • 4.15 Normal Distribution (contd.)01:15
      • 4.16 Calculating Normal Distribution Example
      • 4.17 Z-Table Usage00:52
      • 4.18 Z-Table00:49
      • 4.19 Using Z-Table - Example02:08
      • 4.20 Chi Square Distribution
      • 4.21 t-Distribution00:56
      • 4.22 F-Distribution01:27
      • 4.23 Topic 2 - Exploratory Data Analysis00:11
      • 4.24 Multi-Vari Studies
      • 4.25 Create Multi-Vari Chart
      • 4.26 Create Multi-Vari Chart (contd.)01:35
      • 4.27 Simple Linear Correlation02:34
      • 4.28 Correlation Levels
      • 4.29 Regression01:15
      • 4.30 Key Concepts of Regression
      • 4.31 Simple Linear Regression (SLR)00:49
      • 4.32 Least Squares Method in SLR01:09
      • 4.33 SLR - Example00:27
      • 4.34 SLR - Example00:55
      • 4.35 SLR - Example01:06
      • 4.36 Multiple Linear Regression00:43
      • 4.37 Key Concepts of Multiple Linear Regression02:51
      • 4.38 Difference between Correlation and Causation01:07
      • 4.39 Topic 3 - Hypothesis Testing00:14
      • 4.40 Statistical and Practical Significance of Hypothesis Test01:12
      • 4.41 Null Hypothesis vs. Alternate Hypothesis01:08
      • 4.42 Type I and Type II Error01:44
      • 4.43 Important Points to remember about Type I and Type II Errors01:23
      • 4.44 Power of Test01:42
      • 4.45 Determinants of Sample Size - Continuous Data00:35
      • 4.46 Standard Sample Size Formula Continuous Data
      • 4.47 Standard Sample Size Formula Discrete Data
      • 4.48 Hypothesis Testing Roadmap01:23
      • 4.49 Hypothesis Test for Means (Theoretical) - Example03:22
      • 4.50 Hypothesis Test for Variance Example
      • 4.51 Hypothesis Test for Proportions Example
      • 4.52 Comparison of Means of Two Processes00:41
      • 4.53 Paired Comparison Hypothesis Test for Means (Theoretical)02:02
      • 4.54 Paired Comparison Hypothesis Test for Variance F-Test Example
      • 4.55 Hypothesis Test for Equality of Variance - F-Test Example00:44
      • 4.56 Hypothesis Tests F-Test for Independent Groups
      • 4.57 F-Test Assumptions00:47
      • 4.58 F-Test Interpretations01:24
      • 4.59 Hypothesis Tests - t-Test for Independent Groups00:24
      • 4.60 2-Sample t-Test00:57
      • 4.61 Assumptions of 2-Sample Independent t-Test01:10
      • 4.62 2-Tailed vs. 1-Tailed Probability00:48
      • 4.63 2-Sample Independent t-Test - Results and Interpretations01:13
      • 4.64 Paired t-Test01:00
      • 4.65 Sample Variance
      • 4.66 Sample Variance - Example01:17
      • 4.67 ANOVA - Comparison of More Than Two Means00:48
      • 4.68 ANOVA Example00:30
      • 4.69 ANOVA Example00:34
      • 4.70 ANOVA Example00:10
      • 4.71 ANOVA Example01:10
      • 4.72 ANOVA Example00:39
      • 4.73 Chi-Square Distribution01:54
      • 4.74 Chi-Square Test - An Example01:02
      • 4.75 Chi-Square Test - An Example00:20
      • 4.76 Chi-Square Test - An Example01:19
      • 4.77 Topic 4 - Hypothesis Testing with Non Normal Data00:11
      • 4.78 Mann-Whitney Test
      • 4.79 Mann-Whitney Test - Example02:19
      • 4.80 Kruskal-Wallis Test01:09
      • 4.81 Mood’s Median Test
      • 4.82 Friedman Test00:47
      • 4.83 1 Sample Sign Test00:58
      • 4.84 1 Sample Wilcoxon Test00:28
      • 4.85 Characteristics of 1 Sample Wilcoxon Test
      • 4.86 Quiz
      • 4.87 Summary00:49
      • 4.88 Summary (contd.)00:33
      • 4.89 Thank you00:08
    • Lesson 05 - Improve 23:29
      • 5.1 Improve00:36
      • 5.2 Objectives00:29
      • 5.3 Topic 1 Design of Experiments00:10
      • 5.4 Design of Experiments An Introduction01:15
      • 5.5 DOE Plastic Molding Example00:39
      • 5.6 Components of DOE in the Molding Example
      • 5.7 Full Factorial Experiment An Example01:04
      • 5.8 Full Factorial Experiment An Example00:37
      • 5.9 Full Factorial Experiment An Example00:54
      • 5.10 Full Factorial Experiment An Example01:13
      • 5.11 Design of Experiments Runs01:33
      • 5.12 Topic 2 Root Cause Analysis00:13
      • 5.13 Residuals Analysis01:05
      • 5.14 Residuals Analysis (contd.)01:09
      • 5.15 Data Transformation using Box Cox01:15
      • 5.16 Data Transformation using Box Cox (contd.)
      • 5.17 Process Input and Output Variables
      • 5.18 Cause and Effect Matrix Steps to Update00:54
      • 5.19 Cause and Effect Diagram01:08
      • 5.20 Cause and Effect Diagram Example00:48
      • 5.21 The 5 Why Technique00:51
      • 5.22 The 5 Why Process01:00
      • 5.23 5 Why Example01:01
      • 5.24 Topic 3 Lean Tools00:09
      • 5.25 Lean Techniques
      • 5.26 Cycle Time Reduction00:50
      • 5.27 Cycle Time Reduction Example01:04
      • 5.28 Kaizen and Kaizen Blitz Introduction00:47
      • 5.29 Kaizen and Kaizen Blitz Differences01:50
      • 5.30 Kaizen and Kaizen Blitz Examples
      • 5.31 Quiz
      • 5.32 Summary00:47
      • 5.33 Thank you00:08
    • Lesson 06 - Control 43:01
      • 6.1 Control00:34
      • 6.2 Objectives00:28
      • 6.3 Topic 1 Statistical Process Control00:15
      • 6.4 Introduction to Statistical Process Control01:45
      • 6.5 Common Cause Variation and Special Cause Variation
      • 6.6 Common Cause Variation vs Special Cause Variation00:59
      • 6.7 Rational Subgrouping
      • 6.8 Data Collection for SPC01:11
      • 6.9 Data Collection for SPC Techniques
      • 6.10 Control Chart Anatomy01:04
      • 6.11 Control Chart Anatomy Sample00:34
      • 6.12 Control Charts and Analysis00:39
      • 6.13 Setting the Control Limits01:26
      • 6.14 Common Rules for Control Chart Analysis01:38
      • 6.15 Choosing an Appropriate Control Chart Continuous Data01:27
      • 6.16 Choosing an Appropriate Control Chart Discrete Data00:47
      • 6.17 X bar Chart Principles01:38
      • 6.18 Defining UCL and LCL in X bar and R Chart01:12
      • 6.19 Defining UCL and LCL in X bar and s Chart01:27
      • 6.20 X̄ and R and Subgroup Data Example
      • 6.21 X bar and s and Subgroup Data Example
      • 6.22 ImR Chart Principles01:02
      • 6.23 ImR and Individual Data Example
      • 6.24 ImR Chart IT ITES Example00:53
      • 6.25 Control Charts for Attribute Data01:06
      • 6.26 np Chart Principles
      • 6.27 np Charts and Uniform Subgroup Size Example
      • 6.28 p Chart Principles01:14
      • 6.29 p Charts and Varying Subgroup Size Example
      • 6.30 c Chart Principles01:28
      • 6.31 c Chart Example
      • 6.32 u Chart Principles01:44
      • 6.33 u Chart Example
      • 6.34 Topic 2 Control Plan00:13
      • 6.35 Control Plan and its Uses01:05
      • 6.36 Control Plan Strategy00:59
      • 6.37 Elements of the Control Plan00:38
      • 6.38 Elements of the Response Plan
      • 6.39 Corrective and Preventive Actions00:59
      • 6.40 Cost Benefit Analysis01:54
      • 6.41 What to Control01:00
      • 6.42 Identifying KPIVs00:30
      • 6.43 Control Plan Tools
      • 6.44 Developing a Control Plan00:57
      • 6.45 Developing a Control Plan (contd.)00:54
      • 6.46 Choosing the Right Level of Control00:55
      • 6.47 Transactional Control Plan Example00:41
      • 6.48 Transactional Control Plan Sections
      • 6.49 Manufacturing Control Plan Sample02:06
      • 6.50 IT ITES Control Plan Sample00:21
      • 6.51 CuSum Chart00:47
      • 6.52 CuSum Chart Sample00:21
      • 6.53 EWMA Chart00:49
      • 6.54 EWMA Chart Design Parameters01:02
      • 6.55 EWMA Chart Sample00:20
      • 6.56 EWMA Chart Highlights00:22
      • 6.57 Topic 3 Lean Tools for Process Control00:19
      • 6.58 Visual Controls
      • 6.59 Control Methods for 5S
      • 6.60 Quiz
      • 6.61 Summary01:09
      • 6.62 Thank You00:09
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Reviews

Ulviyya Guluzade

The training was very interesting and interactive. The trainer provided great learning insights, explained the concepts well, and gave background information on every topic. I would strongly recommend this course.

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    • Disclaimer
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.