Lean Six Sigma Green belt training

Become Intermediate level master in Lean Six Sigma

Green belt level training course based on IASSC/ASQ/CSSC body of knowledge.
Lean six sigma green belt

Course curriculum

    1. Welcome to the course!

    1. 1.1 Benefits of Six Sigma

    2. 1.2 Key characteristics of Six Sigma

    3. 1.3 Process improvement and the transfer function

    4. 1.4 Evolution of continuous improvement methodologies

    5. 1.5 Improvement methodologies and Six Sigma

    6. 1.6 Key pioneers and their contributions to Six Sigma

    7. 1.7 Considerations for Six Sigma projects

    8. 1.8 Starting a Six Sigma initiative

    9. 1.9 Supports and Linkages with organizational goal

    10. 1.10 Business processes

    11. 1.11 Core and Support processes

    12. 1.12 Interactions among processes

    13. 1.13 Business Drivers

    14. 1.14 Organizational metrics

    15. 1.15 Characteristics of good metrics

    16. 1.16 Balanced Scorecard

    17. 1.17 Introduction to Lean methodology

    18. 1.18 Six Sigma and Lean: Differences and Similarities

    19. 1.19 Integrating Lean with Six Sigma

    20. 1.20 5 laws of Lean

    21. 1.21 Four Lean concepts

    22. 1.22 5 steps in the Lean process

    23. 1.23 Lean tools commonly used in Six Sigma

    24. 1.24 Lean Six Sigma applications in service

    25. 1.25 Lean Six Sigma applications in manufacturing

    26. 1.26 Key concepts in the Theory of Constraints

    27. 1.27 Measures of a System in TOC

    28. 1.28 Value added and Non-value added activities

    29. 1.29 Lean's 7 wastes

    30. 1.30 Value Stream Map

    31. 1.31 Creating a Current State Map

    32. 1.32 Creating a Future State Map

    33. 1.33 DFSS: Key concepts and tools

    34. 1.34 When to use DFSS

    35. 1.35 Comparing DFSS and Six Sigma

    36. 1.36 The IDOV methodology

    37. 1.37 The DMADV methodology

    38. 1.38 Differentiating DMAIC, IDOV, and DMADV

    39. 1.39 Introduction to basic FMEA

    40. 1.40 FMEA types

    41. 1.41 Steps in the FMEA process

    42. 1.42 Severity, Occurrence, and Detection ratings

    43. 1.43 Calculating and Using RPN

    44. 1.44 DFMEA and PFMEA

    45. 1.45 DFMEA and PFMEA worksheets

    46. 1.46 Common problem-solving approaches in organizations

    1. 2.1 Six Sigma Readiness Assessment

    2. 2.2 Six Sigma Project selection process

    3. 2.3 Six Sigma methodology selection

    4. 2.4 Introduction to Benchmarking

    5. 2.5 Benchmarking and Six Sigma

    6. 2.6 Types of Benchmarking

    7. 2.7 Process Components

    8. 2.8 Process Improvement Challenges

    9. 2.9 Process Input and Output variables

    10. 2.10 Using SIPOC to understand a process

    11. 2.11 Project Stakeholders

    12. 2.12 Process owners and other stakeholders

    13. 2.13 Voice of the business and Voice of the customer

    14. 2.14 Voice of the Customer strategy in Six Sigma

    15. 2.15 Internal and External customers

    16. 2.16 Effects of Six Sigma projects on Customers

    17. 2.17 Customer data

    18. 2.18 Data collection tool

    19. 2.19 Effective data collection

    20. 2.20 Data bias and errors

    21. 2.21 Eliminating Vagueness, Ambiguity and Bias

    22. 2.22 Understanding Customer requirements

    23. 2.23 Kano analysis

    24. 2.24 Quality Function Deployment

    25. 2.25 Understanding HOQ

    26. 2.26 HOQ diagram: Customer focus

    27. 2.27 HOQ diagram: Technical requirements

    28. 2.28 HOQ matrix: Translating Voice of the Customer

    29. 2.29 The Interrelationship Matrix

    30. 2.30 HOQ matrix: Technical Measures and Requirements

    31. 2.31 HOQ Matrix: Technical Correlations

    32. 2.32 Project management and Six Sigma

    33. 2.33 Project problem statements

    34. 2.34 Scoping a Six Sigma Project

    35. 2.35 Defining Project Scope

    36. 2.36 Using a Process map

    37. 2.37 Using a Pareto chart for Project scoping

    38. 2.38 Project metrics

    39. 2.39 Planning tools

    40. 2.40 Gantt chart

    41. 2.41 Critical Path method

    42. 2.42 Program Evaluation and Review technique (PERT)

    43. 2.43 Project Documentation

    44. 2.44 Risk management and Six Sigma

    45. 2.45 Determining Risk probability and Impact

    46. 2.46 Project closure

    47. 2.47 Introduction to affinity diagram

    48. 2.48 Affinity diagram tips

    49. 2.49 Interrelationship diagraphs

    50. 2.50 Creating an Interrelationship diagraph

    51. 2.51 Introduction to tree diagram

    52. 2.52 Creating a tree diagram

    53. 2.53 Introduction to the prioritization matrix

    54. 2.54 Creating a prioritization matrix

    55. 2.55 Introduction to Matrix diagram

    56. 2.56 Creating a Matrix diagrams

    57. 2.57 Introduction to Process Decision program charts

    58. 2.58 Creating a Process decision program chart

    59. 2.59 Introduction to Activity Network Diagram

    60. 2.60 Creating an Activity Network diagram

    61. 2.61 Tracking performance metrics

    62. 2.62 Approaches to Measuring Process performance

    63. 2.63 Calculating Defects per unit (DPU)

    64. 2.64 Introduction to Defects per million opportunities (DPMO)

    65. 2.65 Calculating DPMO

    66. 2.66 Defining Rolled Throughput yield (RTY)

    67. 2.67 Calculating FTY and RTY

    68. 2.68 Process Capability

    69. 2.69 Calculating Process capability indices

    70. 2.70 Introduction to COPQ

    71. 2.71 Types of COPQ

    72. 2.72 Introduction to Six Sigma team

    73. 2.73 Evolution of Six Sigma team

    74. 2.74 Six Sigma organizational roles

    75. 2.75 Other Six Sigma team roles

    76. 2.76 Team challenges: Interpersonal issues

    77. 2.77 Team Challenges: Excessive cohesion

    78. 2.78 Team challenges: Meetings

    79. 2.79 Brainstorming

    80. 2.80 Nominal Group technique and Multivoting

    81. 2.81 Six Sigma team communication

    82. 2.82 Six Sigma organizational communication

    1. 3.1 Process Modeling

    2. 3.2 Identifying areas for process improvement

    3. 3.3 Types of Process maps

    4. 3.4 Process Map Symbols

    5. 3.5 Creating a Process Map

    6. 3.6 Interpreting a process map

    7. 3.7 Introduction to Probability

    8. 3.8 Simple and Mutually Exclusive events

    9. 3.9 Independent and Dependent Events

    10. 3.10 The Addition Rule

    11. 3.11 The Multiplication Rule

    12. 3.12 Calculating Permutations

    13. 3.13 Calculating Combinations

    14. 3.14 Probability Distributions

    15. 3.15 Normal Distribution

    16. 3.16 Calculating probabilities from Z values

    17. 3.17 Binomial Distributions

    18. 3.18 Poisson distributions

    19. 3.19 Chi-square distributions

    20. 3.20 Student's t distributions

    21. 3.21 F- distributions

    22. 3.22 Data Classification

    23. 3.23 Continuous and Discrete data

    24. 3.24 Using Continuous and Discrete data

    25. 3.25 Measurement Scales

    26. 3.26 Data Sampling

    27. 3.27 Sampling Methods

    28. 3.28 Simple Random Sampling

    29. 3.29 Stratified Sampling

    30. 3.30 Data Collection in Six Sigma

    31. 3.31 Data collection best practices

    32. 3.32 Information technologies for Data collection

    33. 3.33 Data collection plan

    34. 3.34 Check Sheets

    35. 3.35 Data coding

    36. 3.36 Descriptive and Inferential Statistics

    37. 3.37 Central limit theorem

    38. 3.38 Tools used for inferential statistics

    39. 3.39 Measure of Central tendency

    40. 3.40 Measures of Dispersion

    41. 3.41 Frequency Distribution table

    42. 3.42 Cumulative Frequency distribution

    43. 3.43 Scatter diagram

    44. 3.44 Normal Probabilities plots

    45. 3.45 Histogram

    46. 3.46 Stem and Leaf's plots

    47. 3.47 Box and Whisker plots

    48. 3.48 Measurement and Measurement System

    49. 3.49 Measurement correlation

    50. 3.50 Repeat abilities and Reproducibilities

    51. 3.51 Conducting a Gage R & R studies

    52. 3.52 Interpreting GR & R Study graphs and tables

    53. 3.53 Precision to Tolerance (P/T ratio)

    54. 3.54 Introduction to bias

    55. 3.55 Calculating Bias

    56. 3.56 Introducing Linearity

    57. 3.57 Calculating Linearity

    58. 3.58 Percent Agreement Analysis

    59. 3.59 Determining Percent Agreement

    60. 3.60 Process performance and Capability

    61. 3.61 Performance Metrics

    62. 3.62 Conducting a process capability study

    63. 3.63 Verifying Stability of process

    64. 3.64 Verifying Normality Assumption

    65. 3.65 Calculating Cp value

    66. 3.66 Calculating Cpk value

    67. 3.67 Application considerations for Cp and Cpk

    68. 3.68 Calculating Pp

    69. 3.69 Calculating Ppk

    70. 3.70 Capability Ratio and Cpm

    71. 3.71 Process performance and Sigma level

    72. 3.72 Recommending Process Improvements

    73. 3.73 Short term Vs. Long term Capability

    1. 4.1 Multi-vari analysis

    2. 4.2 Sampling plans for Multi-vari analysis

    3. 4.3 Types of Variation

    4. 4.4 Interpreting Variation results

    5. 4.5 Correlation analysis

    6. 4.6 Using Scatter diagrams for Correlation analysis

    7. 4.7 Correlation coefficient

    8. 4.8 Causation

    9. 4.9 Testing Statistical significance

    10. 4.10 Using Linear Regression

    11. 4.11 Hypothesis testing for regression statistics

    12. 4.12 Using Regression Analysis to predict outcomes

    13. 4,13 Introduction to hypothesis testing

    14. 4.14 Null and Alternative hypothesis

    15. 4.15 Statistical and Practical Significance

    16. 4.16 Point and Interval estimates

    17. 4.17 Type I and Type II errors

    18. 4.18 Power of a hypothesis test

    19. 4.19 Determining appropriate sample size

    20. 4.20 Hypothesis testing steps

    21. 4.21 One or two tailed hypothesis test

    22. 4.22 The critical Value and P-value methods

    23. 4.23 One sample T and Z test

    24. 4.24 Pooled Two sample t-test for means

    25. 4.25 Non-pooled two sample t-test for means

    26. 4.26 Hypothesis testing overview

    27. 4.27 Hypothesis test for paired comparison

    28. 4.28 Conducting a paired comparison t-test

    29. 4.29 Examining paired-comparison t-test results

    30. 4.30 One-sample test for variance

    31. 4.31 Two sample test for variance

    32. 4.32 Key characteristics of tests for proportions

    33. 4.33 One sample proportion tests

    34. 4.34 Two sample test for proportion

    35. 4.35 Basic ANONVA concepts

    36. 4.36 One way ANOVA test

    37. 4.37 Basic Chi-square test concepts

    38. 4.38 Conducting a chi-square hypothesis testing

    1. 5.1 Design of experiments and Six Sigma

    2. 5.2 Element of an Experiment

    3. 5.3 DOE: Purpose and Process

    4. 5.4 Experiment error

    5. 5.5 Balanced design

    6. 5.6 Randomization

    7. 5.7 Blocking

    8. 5.8 Replication and Repetition

    9. 5.9 Full and Fractional Factorial designs

    10. 5.10 Main Effects and Interaction Effects

    11. 5.11 Analyzing DOE results

    12. 5.12 Conducting Root cause analysis

    13. 5.13 Fishbone diagrams

    14. 5.14 Relational Metrices

    15. 5.15 The 5 why's

    16. 5.16 Fault Tree Analysis (FTA)

    17. 5.17 Value added and Non-value added activities

    18. 5.18 Eliminating Waste

    19. 5.19 5s workplace organization

    20. 5.20 Implementing 5s

    21. 5.21 Poka-yoke

    22. 5.22 Standard work

    23. 5.23 Kanban and Pull

    24. 5.23.1 Kanban Pull process

    25. 5.25 Cycle time and Takt time

    26. 5.26 Reducing Cycle time

    27. 5.27 Continuous Flow

    28. 5.28 Setup Reduction

    29. 5.29 The SMED process

    30. 5.30 Kaizen

    31. 5.31 Kaizen Blitz

    32. 5.32 Applying Kaizen

About this course

  • ₹499.00
  • 308 lessons
  • 21.5 hours of video content

What you will get?

Master Lean Six Sigma Green belt level with this training course.

  • This training course is based on IASSC/ASQ/CSSC Green belt body of knowledge.

  • This training course covers all the important tools and techniques that you need to know as Green belt practitioner.

  • This training course will help you get ready for the Green belt certification exams like IASSC/ASQ.

  • At the end of this course you will get certification from EALSS Academy.

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FAQ

  • Who can Join this course?

    Anyone who is interested in Learning Lean Six Sigma tools up to the green belt level can join the course. Also if you are preparing for the Green belt certification exam then this course is a must for you!

  • Is this training course aligned with IASSC and ASQ?

    Yes, this training course covers ASQ and IASSC green belt bodies of knowledge. You can check the course content and official BOK of the respective certification bodies.

  • What if I get failed the final exam in the course?

    Don't worry, you have multiple attempts for the final exam. So even if you failed on the first attempt you can go back and give that exam again until you achieve the minimum passing grade of 80%.

  • Will I get the certification after the course?

    Yes, once you finished the course and the final exam you will get a course completion certificate from EALSS Academy. (Check out last section at the end of course )

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