Green Belt Body of Knowledge

  • Introduction
    • Six Sigma history and terminology
    • Define – Measure – Analyze – Improve – Control (DMAIC) methodology
    • Processes, inputs and outputs
    • Six Sigma roles and responsibilities
    • Theory of constraints
  • Project Selection
    • Project selection criteria
    • Identifying internal metrics
    • Voice of the customer: SIPOC, affinity diagrams, Kano diagrams, critical to satisfaction characteristics
    • Sample projects
  • Lean Enterprise
    • Introduction to Lean tools and eight wastes
    • Value stream mapping
  • Team-Building
    • Roles and responsibilities
    • Ingredients for successful teams
    • Communication and feedback
  • Basic Statistics
    • Terms: Variation, sample, population, distribution, mean, median, mode, range, standard deviation
    • Descriptive statistics
    • Normal and non-normal data, Anderson-Darling normality test
    • Graphic methods: Histograms, Pareto charts, scatter diagrams
    • Variable and attribute data
    • Run charts and control charts: I-MR, X-bar and R, P, NP, C, and U
    • Special and common cause variation
    • Control chart analysis
  • Define Phase
    • D1 – Select an output characteristic
    • D2 – Define output performance standard
    • D3 – Describe the process
      • Detailed process mapping
      • Project charter, problem statements
      • Project scope, goals, objectives, and performance measures
  • Measure Phase
    • M1 – Validate the measuring system
      • Attribute agreement analysis and variable gage R & R
    • M2 – Establish current process capability
      • Measurement methods
      • Data collection, sampling methods, types of data
      • Process performance verses specifications
      • Attribute and variable process capability
    • M3 – Determine project objectives
  • Analyze Phase
    • A1 and A2 – Identify and screen potential causes
      • Root cause analysis
      • Brainstorming, list reduction, five why
      • Cause and effect diagrams
      • Cause and effect matrix, family of variation, and potential X matrix
    • A3 – Determine the f(x)
      • One factor at a time experiment
      • Overview of correlation, regression, and DOE
  • Improve Phase
    • I1 – Establish operating tolerances
      • Solution matrices
      • Managing change
    • I2 – Re-evaluate the measuring system
    • I3 – Establish final capability
      • Pilot study
  • Control Phase
    • C1 – Implement process controls
      • Control plan
      • Mistake proofing
      • Internal audits
      • Lessons learned
      • Ongoing evaluation
NIST

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