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

      42:52
      • 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
        00:10
      • 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.