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Lean Six Sigma Green Belt

A toolbox of best practices to transform key processes and design organizations of the future


Commit to the continuous improvement and transformation of people, processes, and organizations through the Lean Six Sigma Green Belt. You will leave this course with a new toolbox of proven best practices to help organizations achieve goals and maximize value.

Course Outline
Lesson 1: Introduction to Green Belt
  • What is Six Sigma
  • Tools and Methodology
  • Six Sigma Structure
Lesson 2: Project Definition
  • Project Planning and Documenting
  • Project Charter
  • Project Gantt Chart
Lesson 3: Voice of the Customer
  • Kano Model
  • Critical to Quality (CTQ) Tree
  • Quality Function Deployment (QFD)
Lesson 4: Process Maps
  • What are process maps used for?
  • Types of Process Maps
Lesson 5: Measurement System Analysis (MSA)
  • What is MSA?
  • When is it used?
  • Key Concepts
Lesson 6: Basic Statistics
  • What is statistics?
  • Reasons to Apply Statistics
  • Branches of Statistics
  • Properties of Data
Lesson 7: Sampling
  • What is sampling?
  • What is it used for?
  • Types of Sampling
  • When is it used?
Lesson 8: Histograms
  • What is a histogram?
  • What is it used for?
  • Components
  • When is it used?
Lesson 9: Process Capability
  • What is process capability?
  • Why measure it?
  • Capability Measurement
  • When do you measure it?
Lesson 10: Process Performance
  • Process Performance
  • Process Yield
  • Defects per Million Opportunities (DPMO)
  • Six Sigma Metric
  • Integrative Example
Lesson 11: Box Plots
  • What is a box plot?
  • Set Up the Page Layout
  • What is it used for?
Lesson 12: Multi-var Analysis
  • What are multi-vari charts?
  • What are multi-vari charts used for?
  • Sources of Variation
  • When are multi-vari charts used?
Lesson 13: Hypothesis Testing and Confidence Intervals
  • What is hypothesis testing?
  • Elements of Hypothesis Testing
  • Confidence Levels
  • What are confidence intervals?
  • What are confidence intervals used for?
  • When are they used?
Lesson 14: Analysis of Variance (ANOVA)
  • What is ANOVA?
  • Key Elements
  • Types of ANOVA
Lesson 15: Correlation
  • What is correlation?
  • What is it used for?
  • Correlation Diagram
  • Types and Strength of Relationship
  • Interpretation of Results
  • When is it used?
Lesson 16: Introduction to Design of Experiments
  • What is Design of Experiments (DoE)?
  • DoE Applications
  • Classification of DoE
Lesson 17: Factorial Experimental Designs
  • Factorial Designs
  • Sample Size
  • Types of Factors
Lesson 18: Statistical Process Control
  • What is statistical process control (SPC)?
  • What are they used for?
  • Benefits
  • Elements
  • When to use them?
  • Re-calculation of Control Limits
Lesson 19: Control Plan
  • What is a control plan?
  • What is it used for?
  • Key Elements
  • When is it used?


Prior Course Recommendation:

  • Microsoft Word for Office 365/2019: Part 1
  • Microsoft Excel for Office 365/2019: Part 1
  • Microsoft PowerPoint for Office 365/2019: Part 1


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