Course Summary
  • Course Summary
Overview: Six Sigma and the Organization
  • Value of six sigma 1
  • Value of six sigma 2
  • Organization Drivers and Metrics
  • Organizational Goals and Six Sigma Projects
  • Lean Concepts and Tools
  • Value added, Non value added activities and Theory of Contraints
  • Design for Six Sigma in the Organization
  • Overview: Six Sigma and the Organization
Six Sigma- Define
  • Process Management for Project 1
  • Process Management for Project 2
  • Project Management Basic 1
  • Project Management Basic 2
  • Management and Planning Tools
  • Process Performance 1
  • Process Performance 2
  • Failure Mode and Effect Analysis (FMEA)
  • Team stage and Dynamics 1
  • Team Dynamics and Performance 2
  • Introduction to Minitab
  • Six Sigma- Define
Six Sigma- Measure
  • Process Modeling
  • Process Input and Output
  • Drawing valid statistical conclusions
  • Central Limit Theorem and Sampling Distribution
  • Basic Probability Concepts
  • Collecting Data
  • Descriptive Statistics
  • Graphical Methods (Stem Leaf/Run Chart/Box plot)
  • Graphical Methods (Scatter Plot)
  • Graphical Methods (Pareto Charts)
  • Graphical Methods (Histogram)
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Measurement System Analysis
  • Process Capability Studies 1
  • Process Capability Studies 2
  • Process Capability Studies 3
  • Six Sigma-Measure
Six Sigma- Analyze
  • Exploratory Data Analysis
  • Hypothesis Testing 1
  • Hypothesis Testing 2
  • Hypothesis Testing 3
  • Six Sigma- Analyze
Six Sigma- Improve and Control
  • Design of Experiment (DOE)
  • Statistical Process Control 1
  • Statistical Process Control 2
  • Six Sigma- Improve and Control
Six Sigma Green Belt Course Conclusion
  • Six Sigma Green Belt Course Conclusion
Six Sigma Black Belt Course Introduction
  • Introduction
  • Define and Measure Phases
Analyze Phase
  • Multivariate Tools
  • Principal Component Analysis
  • Factor Analysis
  • Discriminate Analysis
  • MANOVA
  • Attribute Data Analysis
  • Hypothesis Testing
  • Selection of Appropriate Hypothesis Test
  • Non Parametric Test 1
  • Non Parametric Test 2
Improve and Control Phases
  • Introduction to Design of Experiments
  • Main and Interaction Plots
  • Fractional Factorial Design
  • Planning for DOE
  • Analyzing DOE
Conclusion
  • Conclusion