Lean Six Sigma Green Belt to Black Belt for Service Organizations

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

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

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

Requirement: Personal laptop computer with Excel™ is very highly recommended. Minitab™ software is desirable but not necessary.

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

Course Content:

Advanced Lean Content
This section provides the participant with an enhanced understanding of the Lean organization and how to more effectively implement Lean tools and techniques to improve organizational performance.

    The Lean Organization
    • The production of service
    • The world class power of the Toyota way
    • Using operational excellence as a strategic weapon
    • The 14 principles of the Toyota way: the culture behind the Toyota system
    • Applying the Toyota way in your organization
    • Becoming a world-class supplier of services
    • Traditional business flow
    • The value of time
    • "Muda" - types of waste
    • Why non-value-added work occurs
    • "White Spaces" - the gaps between key functions

  • Quality at the Source
    • Applying "Internal" customer & supplier principles
    • The customer-supplier partnership bridge
    • Understanding "internal" supplier responsibility
    • Responsibility for quality
    • Prevention vs. correction
    • Impact on the bottom-line

Define Phase

Project Management
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 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 content

Analyze
The primary focus of this phase is to provide the Black Belt with additional data analysis tools to enable the participant to tackle more complex data driven projects.

  • Applied Statistics
    • 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
    • Non-parametric tests
      • Comparing two processes
        • Sign test
        • Mann-Whitney
        • Mood’s median test
        • Kolmogorov-Smirnov
      • Comparing more than two processes
        • Kruskal-Wallis
        • Mood’s median test
    • 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
    • Planning an experiment
    • Full Factorial Designs
    • Judging the importance of signals
    • Model building
    • Fractional factorial designs

Improve

  • No additional content

Control

  • No additional content

 

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