Course description

Course preview

    • Lesson 00 - Course Overview 07:30
      • 0.1 Course Overview 00:19
      • 0.2 Objectives 00:44
      • 0.3 About Simplilearn's LSSGB Course 00:27
      • 0.4 Course Overview 01:27
      • 0.5 Target Audience and Course Prerequisites 00:35
      • 0.6 Value Of LSSGB For Professionals 00:43
      • 0.7 Value Of LSSGB For Organization 00:35
      • 0.8 Lessons Covered 00:18
      • 0.9 Exam Pattern 00:39
      • 0.10 About Simplilearn's LSSGB Exam 00:48
      • 0.11 Lean Six Sigma Green Belt Certification 00:37
      • 0.12 Sources Of Information 00:10
      • 0.13 Thank You 00:08
    • Lesson 01 - Overview of Lean Six Sigma 31:13
      • 1.1 Overview of Lean Six Sigma 00:43
      • 1.2 Objectives 00:18
      • 1.3 Topic 1 - Six Sigma 00:09
      • 1.4 Introduction to Six Sigma 00:39
      • 1.5 Process 01:25
      • 1.6 Process of Six Sigma
      • 1.7 List of DMAIC Tools
      • 1.8 How does Six Sigma Work 00:49
      • 1.9 Six Sigma Terms
      • 1.10 Sigma Level Chart 00:29
      • 1.11 Benefits of Six Sigma 01:22
      • 1.12 Six Sigma and Quality 00:29
      • 1.13 History of Six Sigma
      • 1.14 Six Sigma Team 01:30
      • 1.15 Topic 2 - Lean Principles 00:15
      • 1.16 Overview of Lean 01:23
      • 1.17 History of Lean
      • 1.18 Lean Six Sigma 01:26
      • 1.19 Lean vs. Six Sigma 00:58
      • 1.20 Lean Concepts
      • 1.21 Lean Concepts - Process Issues 00:32
      • 1.22 Seven Types of Waste 02:18
      • 1.23 Other Lean Wastes 00:50
      • 1.24 Identifying the Waste Type Exercise
      • 1.25 Lean Process
      • 1.26 Lean Process - Identify Value 00:32
      • 1.27 Lean Process Value Stream Mapping
      • 1.28 Lean Process Flow Pull and Perfection
      • 1.29 Pull vs. Push 01:08
      • 1.30 Theory of Constraints
      • 1.31 Theory of Constraints - Example 01:44
      • 1.32 Theory of Constraints - Example 00:31
      • 1.33 Topic 3 - Design for Six Sigma 00:15
      • 1.34 Design for Six Sigma 01:27
      • 1.35 DFSS Tools - Quality Function Deployment 01:28
      • 1.36 DFSS Tools - Failure Modes and Effects Analysis 00:47
      • 1.37 PFMEA and DFMEA 00:58
      • 1.38 FMEA Risk Priority Number 01:03
      • 1.39 FMEA Table 01:01
      • 1.40 RPN and Scale Criteria - Severity 01:20
      • 1.41 RPN and Scale Criteria - Occurrence 00:41
      • 1.42 RPN and Scale Criteria - Detection 00:46
      • 1.43 Example of FMEA and RPN 00:53
      • 1.44 Quiz
      • 1.45 Summary 00:55
      • 1.46 Thank You 00:09
    • Lesson 02 - Define 56:31
      • 2.1 Define 00:39
      • 2.2 Objectives 00:35
      • 2.3 Topic 1 - Project Identification 00:09
      • 2.4 Project Selection
      • 2.5 Process Elements
      • 2.6 SIP - Output Interaction
      • 2.7 Owners and Stakeholders 00:55
      • 2.8 Identify Customer 00:40
      • 2.9 Internal Customers 02:09
      • 2.10 External Customers
      • 2.11 Building a Business Case 00:50
      • 2.12 Building a Business Case - Details 01:26
      • 2.13 Financial Evaluation and Benefits Capture 01:29
      • 2.14 Financial Evaluation and Benefits Capture - Sample 00:45
      • 2.15 Positive Effects of Project on Customers 01:44
      • 2.16 Topic 2 - Voice of the Customer 00:10
      • 2.17 Collect Customer Data 01:16
      • 2.18 Questionnaire
      • 2.19 Advantages and Disadvantages of Questionnaire 00:59
      • 2.20 Telephone Survey vs. Web Survey 00:33
      • 2.21 Focus Group
      • 2.22 Advantages and Disadvantages of Focus Group 00:52
      • 2.23 Interview
      • 2.24 Advantages and Disadvantages of Interview 00:41
      • 2.25 Importance and Urgency of Various Inputs 02:34
      • 2.26 Customer Complaints 00:31
      • 2.27 Product Complaint vs. Expedited Service Request 01:09
      • 2.28 Importance and Urgency of Various Inputs 01:58
      • 2.29 Key Elements of Data Collection Tools 01:10
      • 2.30 Review of Collected Data 02:07
      • 2.31 Voice of Customer 01:15
      • 2.32 Importance of Translating Customer Requirements 00:48
      • 2.33 Critical to Quality
      • 2.34 Quality Function Deployment 01:08
      • 2.35 Phases of QFD 00:56
      • 2.36 Structure of QFD
      • 2.37 Post - HOQ Matrix 00:33
      • 2.38 Topic 3 - Project Management Basics 00:09
      • 2.39 Problem Statement 00:49
      • 2.40 Project Charter
      • 2.41 Project Charter Sections 00:32
      • 2.42 Project Plan 01:03
      • 2.43 Deliverables of a Lean Six Sigma Project 00:50
      • 2.44 Deliverables of a Lean Six Sigma (contd.)
      • 2.45 Pareto Chart 01:07
      • 2.46 Pareto Charts - Example 00:36
      • 2.47 Risk 01:11
      • 2.48 Risk Analysis and Management
      • 2.49 Elements of Risk Analysis 02:15
      • 2.50 Benefits of Risk Analysis 00:59
      • 2.51 Risk Assessment Matrix 00:31
      • 2.52 Six Sigma Team and their Responsibilities 03:54
      • 2.53 Project Closure 00:53
      • 2.54 Goals of Project Closure Report 00:52
      • 2.55 Affinity Diagram 02:07
      • 2.56 Interrelationship Diagram 01:50
      • 2.57 Tree Diagram 01:56
      • 2.58 Topic 4 - Management and Planning Tools 00:09
      • 2.59 Matrix Diagram 00:36
      • 2.60 Types of Matrices
      • 2.61 Defect per Unit
      • 2.62 Throughput Yield 00:49
      • 2.63 Rolled Throughput Yield 01:26
      • 2.64 FPY and RTY Example
      • 2.65 Topic 5 - Business Results for Projects 00:10
      • 2.66 Defect per Million Opportunities
      • 2.67 Cost of Quality
      • 2.68 Quiz
      • 2.69 Summary 00:47
      • 2.70 Summary 00:50
      • 2.71 Thank You 00:09
    • Lesson 03 - Measure 56:26
      • 3.1 Measure 00:19
      • 3.2 Objectives 00:39
      • 3.3 Topic 1 - Process Definition 00:10
      • 3.4 Introduction to Measure Phase 00:30
      • 3.5 Process Mapping 00:59
      • 3.6 X-Y Diagram
      • 3.7 X-Y Diagram Template 01:14
      • 3.8 Topic 2 - Descriptive and Inferential Statistics 00:12
      • 3.9 Types of Statistics 01:25
      • 3.10 Analytical Statistics
      • 3.11 Central Limit Theorem 01:19
      • 3.12 Central Limit Theorem - Graph 00:47
      • 3.13 Central Limit Theorem - Conclusions 00:58
      • 3.14 Topic 3 - Collecting and Summarizing Data 00:10
      • 3.15 Types of Data
      • 3.16 Selecting Data Type 01:28
      • 3.17 Simple Random Sampling vs. Stratified Sampling 00:44
      • 3.18 Descriptive Statistics Measures of Central Tendency
      • 3.19 Mean Median and Mode - Example
      • 3.20 Mean Median and Mode - Outliers 01:08
      • 3.21 Descriptive - Statistics Measures of Dispersion 00:35
      • 3.22 Measures of Dispersion - Range 00:39
      • 3.23 Measures of Dispersion - Variance 01:25
      • 3.24 Measures of Dispersion Standard Deviation
      • 3.25 Descriptive Statistics - Frequency Distribution 01:22
      • 3.26 Cumulative Frequency Distribution 02:23
      • 3.27 Graphical Methods - Stem and Leaf Plots 01:38
      • 3.28 Graphical Methods - Box and Whisker Plots 02:23
      • 3.29 Graphical Methods - Scatter Diagrams 00:39
      • 3.30 Scatter Diagrams - Types of Correlation
      • 3.31 Graphical Methods - Histogram 01:02
      • 3.32 Graphical Methods - Normal Probability Plots 01:25
      • 3.33 Topic 4 - Measurement System Analysis 00:14
      • 3.34 Measurement System Analysis 01:05
      • 3.35 Measurement System Analysis - Objectives 00:47
      • 3.36 Precision and Accuracy
      • 3.37 Precision vs. Accuracy 01:08
      • 3.38 Combinations of Accuracy and Precision
      • 3.39 Bias Linearity and Stability
      • 3.40 Comparison of Variable and Attribute R and R 01:14
      • 3.41 Gage Repeatability and Reproducibility 00:48
      • 3.42 Components of GRR Study 00:46
      • 3.43 Guidelines for GRR Studies 00:48
      • 3.44 Other GRR Concepts 00:57
      • 3.45 Measurement Resolution 00:53
      • 3.46 Repeatability and Reproducibility 01:37
      • 3.47 Data Collection in GRR 00:53
      • 3.48 ANOVA Method of Analyzing GRR Studies 00:42
      • 3.49 Interpretation of Measurement System Analysis 00:55
      • 3.50 Gage RR Template 01:26
      • 3.51 Gage RR Results Summary 00:17
      • 3.52 Gage RR Interpretation 01:34
      • 3.53 Topic 5 - Process Capability 00:10
      • 3.54 Process Capability Analysis 01:14
      • 3.55 Natural Process Limits vs. Specification Limits 01:47
      • 3.56 Process Capability 00:51
      • 3.57 Process Capability Indices 01:18
      • 3.58 Process Capability Indices Example
      • 3.59 Capability Analysis - Cpk and Cp Interpretations 01:21
      • 3.60 Process Capability Studies 00:42
      • 3.61 Objectives of Process Capability Studies 01:17
      • 3.62 Process Capability Studies - Identifying Characteristics 00:46
      • 3.63 Process Capability for Attribute or Discrete Data 00:52
      • 3.64 Process Stability Studies 00:52
      • 3.65 Process Stability Studies Causes of Variation
      • 3.66 Process Stability Studies - Run Charts in Minitab 00:46
      • 3.67 Verifying Process Stability and Normality 00:56
      • 3.68 Monitoring Techniques 00:30
      • 3.69 Quiz
      • 3.70 Summary 00:46
      • 3.71 Summary (contd.) 00:32
      • 3.72 Thank You 00:09
    • Lesson 04 - Analyze 1:12:34
      • 4.1 Analyze 00:35
      • 4.2 Objectives 00:31
      • 4.3 Topic 1 - Patterns of variation 00:10
      • 4.4 Classes of Distributions
      • 4.5 Types of Distribution 00:32
      • 4.6 Discrete Probability Distribution 00:51
      • 4.7 Binomial Distribution 01:50
      • 4.8 Binomial Distribution (contd.) 00:46
      • 4.9 Calculating Binomial Distribution Example
      • 4.10 Poisson Distribution 01:35
      • 4.11 Poisson Distribution - Formula 00:47
      • 4.12 Calculating Poisson Distribution Example
      • 4.13 Continuous Probability Distribution 00:39
      • 4.14 Normal Distribution 01:11
      • 4.15 Normal Distribution (contd.) 01:15
      • 4.16 Calculating Normal Distribution Example
      • 4.17 Z-Table Usage 00:52
      • 4.18 Z-Table 00:49
      • 4.19 Using Z-Table - Example 02:08
      • 4.20 Chi Square Distribution
      • 4.21 t-Distribution 00:56
      • 4.22 F-Distribution 01:27
      • 4.23 Topic 2 - Exploratory Data Analysis 00:11
      • 4.24 Multi-Vari Studies
      • 4.25 Create Multi-Vari Chart
      • 4.26 Create Multi-Vari Chart (contd.) 01:35
      • 4.27 Simple Linear Correlation 02:34
      • 4.28 Correlation Levels
      • 4.29 Regression 01:15
      • 4.30 Key Concepts of Regression
      • 4.31 Simple Linear Regression (SLR) 00:49
      • 4.32 Least Squares Method in SLR 01:09
      • 4.33 SLR - Example 00:27
      • 4.34 SLR - Example 00:55
      • 4.35 SLR - Example 01:06
      • 4.36 Multiple Linear Regression 00:43
      • 4.37 Key Concepts of Multiple Linear Regression 02:51
      • 4.38 Difference between Correlation and Causation 01:07
      • 4.39 Topic 3 - Hypothesis Testing 00:14
      • 4.40 Statistical and Practical Significance of Hypothesis Test 01:12
      • 4.41 Null Hypothesis vs. Alternate Hypothesis 01:08
      • 4.42 Type I and Type II Error 01:44
      • 4.43 Important Points to remember about Type I and Type II Errors 01:23
      • 4.44 Power of Test 01:42
      • 4.45 Determinants of Sample Size - Continuous Data 00:35
      • 4.46 Standard Sample Size Formula Continuous Data
      • 4.47 Standard Sample Size Formula Discrete Data
      • 4.48 Hypothesis Testing Roadmap 01:23
      • 4.49 Hypothesis Test for Means (Theoretical) - Example 03:22
      • 4.50 Hypothesis Test for Variance Example
      • 4.51 Hypothesis Test for Proportions Example
      • 4.52 Comparison of Means of Two Processes 00:41
      • 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 Example 00:44
      • 4.56 Hypothesis Tests F-Test for Independent Groups
      • 4.57 F-Test Assumptions 00:47
      • 4.58 F-Test Interpretations 01:24
      • 4.59 Hypothesis Tests - t-Test for Independent Groups 00:24
      • 4.60 2-Sample t-Test 00:57
      • 4.61 Assumptions of 2-Sample Independent t-Test 01:10
      • 4.62 2-Tailed vs. 1-Tailed Probability 00:48
      • 4.63 2-Sample Independent t-Test - Results and Interpretations 01:13
      • 4.64 Paired t-Test 01:00
      • 4.65 Sample Variance
      • 4.66 Sample Variance - Example 01:17
      • 4.67 ANOVA - Comparison of More Than Two Means 00:48
      • 4.68 ANOVA Example 00:30
      • 4.69 ANOVA Example 00:34
      • 4.70 ANOVA Example 00:10
      • 4.71 ANOVA Example 01:10
      • 4.72 ANOVA Example 00:39
      • 4.73 Chi-Square Distribution 01:54
      • 4.74 Chi-Square Test - An Example 01:02
      • 4.75 Chi-Square Test - An Example 00:20
      • 4.76 Chi-Square Test - An Example 01:19
      • 4.77 Topic 4 - Hypothesis Testing with Non Normal Data 00:11
      • 4.78 Mann-Whitney Test
      • 4.79 Mann-Whitney Test - Example 02:19
      • 4.80 Kruskal-Wallis Test 01:09
      • 4.81 Mood’s Median Test
      • 4.82 Friedman Test 00:47
      • 4.83 1 Sample Sign Test 00:58
      • 4.84 1 Sample Wilcoxon Test 00:28
      • 4.85 Characteristics of 1 Sample Wilcoxon Test
      • 4.86 Quiz
      • 4.87 Summary 00:49
      • 4.88 Summary (contd.) 00:33
      • 4.89 Thank you 00:08
    • Lesson 05 - Improve 23:29
      • 5.1 Improve 00:36
      • 5.2 Objectives 00:29
      • 5.3 Topic 1 Design of Experiments 00:10
      • 5.4 Design of Experiments An Introduction 01:15
      • 5.5 DOE Plastic Molding Example 00:39
      • 5.6 Components of DOE in the Molding Example
      • 5.7 Full Factorial Experiment An Example 01:04
      • 5.8 Full Factorial Experiment An Example 00:37
      • 5.9 Full Factorial Experiment An Example 00:54
      • 5.10 Full Factorial Experiment An Example 01:13
      • 5.11 Design of Experiments Runs 01:33
      • 5.12 Topic 2 Root Cause Analysis 00:13
      • 5.13 Residuals Analysis 01:05
      • 5.14 Residuals Analysis (contd.) 01:09
      • 5.15 Data Transformation using Box Cox 01:15
      • 5.16 Data Transformation using Box Cox (contd.)
      • 5.17 Process Input and Output Variables
      • 5.18 Cause and Effect Matrix Steps to Update 00:54
      • 5.19 Cause and Effect Diagram 01:08
      • 5.20 Cause and Effect Diagram Example 00:48
      • 5.21 The 5 Why Technique 00:51
      • 5.22 The 5 Why Process 01:00
      • 5.23 5 Why Example 01:01
      • 5.24 Topic 3 Lean Tools 00:09
      • 5.25 Lean Techniques
      • 5.26 Cycle Time Reduction 00:50
      • 5.27 Cycle Time Reduction Example 01:04
      • 5.28 Kaizen and Kaizen Blitz Introduction 00:47
      • 5.29 Kaizen and Kaizen Blitz Differences 01:50
      • 5.30 Kaizen and Kaizen Blitz Examples
      • 5.31 Quiz
      • 5.32 Summary 00:47
      • 5.33 Thank you 00:08
    • Lesson 06 - Control 43:01
      • 6.1 Control 00:34
      • 6.2 Objectives 00:28
      • 6.3 Topic 1 Statistical Process Control 00:15
      • 6.4 Introduction to Statistical Process Control 01:45
      • 6.5 Common Cause Variation and Special Cause Variation
      • 6.6 Common Cause Variation vs Special Cause Variation 00:59
      • 6.7 Rational Subgrouping
      • 6.8 Data Collection for SPC 01:11
      • 6.9 Data Collection for SPC Techniques
      • 6.10 Control Chart Anatomy 01:04
      • 6.11 Control Chart Anatomy Sample 00:34
      • 6.12 Control Charts and Analysis 00:39
      • 6.13 Setting the Control Limits 01:26
      • 6.14 Common Rules for Control Chart Analysis 01:38
      • 6.15 Choosing an Appropriate Control Chart Continuous Data 01:27
      • 6.16 Choosing an Appropriate Control Chart Discrete Data 00:47
      • 6.17 X bar Chart Principles 01:38
      • 6.18 Defining UCL and LCL in X bar and R Chart 01:12
      • 6.19 Defining UCL and LCL in X bar and s Chart 01:27
      • 6.20 X̄ and R and Subgroup Data Example
      • 6.21 X bar and s and Subgroup Data Example
      • 6.22 ImR Chart Principles 01:02
      • 6.23 ImR and Individual Data Example
      • 6.24 ImR Chart IT ITES Example 00:53
      • 6.25 Control Charts for Attribute Data 01:06
      • 6.26 np Chart Principles
      • 6.27 np Charts and Uniform Subgroup Size Example
      • 6.28 p Chart Principles 01:14
      • 6.29 p Charts and Varying Subgroup Size Example
      • 6.30 c Chart Principles 01:28
      • 6.31 c Chart Example
      • 6.32 u Chart Principles 01:44
      • 6.33 u Chart Example
      • 6.34 Topic 2 Control Plan 00:13
      • 6.35 Control Plan and its Uses 01:05
      • 6.36 Control Plan Strategy 00:59
      • 6.37 Elements of the Control Plan 00:38
      • 6.38 Elements of the Response Plan
      • 6.39 Corrective and Preventive Actions 00:59
      • 6.40 Cost Benefit Analysis 01:54
      • 6.41 What to Control 01:00
      • 6.42 Identifying KPIVs 00:30
      • 6.43 Control Plan Tools
      • 6.44 Developing a Control Plan 00:57
      • 6.45 Developing a Control Plan (contd.) 00:54
      • 6.46 Choosing the Right Level of Control 00:55
      • 6.47 Transactional Control Plan Example 00:41
      • 6.48 Transactional Control Plan Sections
      • 6.49 Manufacturing Control Plan Sample 02:06
      • 6.50 IT ITES Control Plan Sample 00:21
      • 6.51 CuSum Chart 00:47
      • 6.52 CuSum Chart Sample 00:21
      • 6.53 EWMA Chart 00:49
      • 6.54 EWMA Chart Design Parameters 01:02
      • 6.55 EWMA Chart Sample 00:20
      • 6.56 EWMA Chart Highlights 00:22
      • 6.57 Topic 3 Lean Tools for Process Control 00:19
      • 6.58 Visual Controls
      • 6.59 Control Methods for 5S
      • 6.60 Quiz
      • 6.61 Summary 01:09
      • 6.62 Thank You 00:09
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Reviews

Ulviyya Guluzade
Ulviyya Guluzade Manager at State Oil Company of the Republic of Azerbaijan

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.