Six Sigma Green Belt to Black Belt

This Center for Quality Six Sigma class assumes that all participants have recently completed GB training and that no remedial training is required. As such, essentially all material covered will be additional tools and methods that enhance data collection and analysis.

Who should attend:
Participants who have completed the Center for Quality Six Sigma Green Belt and desire to go to Black Belt status.

Prerequisite: Completed the Center for Quality Six Sigma Green Belt.

Duration: 80 Hours – 10-day course (two sessions, non-concurrent weeks)

Course Content:

Define Phase

• Project Management/Project Planning
  This section provides the participant with an overview of project management techniques and tools that increase their effectiveness in leading and managing Six Sigma projects.
  • Project management fundamentals
  • Creating a work breakdown structure
  • Creating an effective project plan
  • Using Project Management software to increase efficiency
  • Risk Analysis
  • Resource Analysis
  • Effective project management
  • Communication management
  
  
• Failure Mode and Effects Analysis
  • FMEA and Quality Systems
  • Basic FMEA Concepts
  • FMEA Teams
  • Defining the Process
  • Failure Modes
  • Cause-Effect Diagram
  • Controls
  • Risk Analysis
  • Using the FMEA Form
  • Taking Action
  • Keeping the FMEA Alive
  • Control Plans
  • Reaction Plans

Measure
No additional materials to be covered.

Analyze Phase

• Statistical Analysis for Process Improvement
  • Understanding a Single Process
  • Estimating the Center and Spread
  • Confidence Intervals for the Mean, Variance and Proportion
  • Testing a Hypothesized Mean, Variance and Proportion
  • Errors of Type I and II
  • Sample Size Considerations
  • Assessing Differences Between Two Gauging Points
  • Assessing Differences Between Two Parallel Processes
  • Graphical Techniques
  • Differences in Means
  • Student's t Test
  • Differences in Variation
  • F Test
  • Differences in Proportion
  • Assessing Differences Among More Than Two Parallel Processes
  • Differences Between Means
  • Analysis of Variance
  • Differences in Variation
  • Differences in Proportion
  • Relating Two Variables (Using an Input Variable to Predict an Output Variable)
  • Correlation
  • Fitting a Line
  • Residual Analysis
  • Predicting the Output at a Given Level of the Input
  • Confidence and Prediction Intervals
  • Relating More Than Two Variables (Using More Than One Input Variable to Predict an Output Variable)
  • Building the Regression Model
  • Residual Analysis
  • Confidence and Prediction Intervals for Regression Models
• Design of Experiments
  • DOE fundamentals
  • Terms
  • The DOE process
  • Planning an experiment
  • Key considerations
  • Sequence of steps
  • Propriety of conduct
  • DOE checklists
  • Full Factorial Designs
  • Two factor experiments (introduction to full factorials)
  • Understanding interactions
  • Understanding curvature
  • Calculating effects
  • Full factorial worksheets
  • Judging the importance of signals
  • MSFE calculations
  • Graphical techniques
  • Judging significance for:
  • Location
  • Spread - f statistic and transforming data
  • Proportion and counts - transforming data
  • Model Building
  • First order models
  • Second order models
  • Building the model
  • Analysis of residuals
  • Fractional Factorial Designs
  • Confounding patterns
  • Analysis of fractional designs
  • Reflected designs
  • Screening Designs
  • Plackett and Burman designs
  • Taguchi designs
  • DOE Workshop

Improve
No additional materials to be covered.

Control
No additional materials to be covered.

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