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Six Sigma Black Belt ASQ SSBB Body of Knowledge
ASQ SSBB exam contains questions from many topics. These are listed in the Body of Knowledge reproduced below. This version of BOK includes links to Six Sigma Glossary.
I. ENTERPRISE WIDE DEPLOYMENT
II. BUSINESS PROCESS MANAGEMENT
III. PROJECT MANAGEMENT
IV. SIX SIGMA IMPROVEMENT METHODOLOGY AND TOOLS - DEFINE
V. SIX SIGMA IMPROVEMENT METHODOLOGY AND TOOLS - MEASURE
VI. SIX SIGMA IMPROVEMENT METHODOLOGY AND TOOLS - ANALYZE
VII. SIX SIGMA IMPROVEMENT METHODOLOGY AND TOOLS - IMPROVE
VIII. SIX SIGMA IMPROVEMENT METHODOLOGY AND TOOLS - CONTROL
IX. LEAN ENTERPRISE
   
[SIX SIGMA GLOSSARY INDEX OF TOPICS]
VII. SIX SIGMA IMPROVEMENT METHODOLOGY AND TOOLS - IMPROVE (22 questions)

A. Design of Experiments (DOE)

  1. Terminology
    Define independent and dependent variables, factors and levels, response, treatment, error and replication. (Comprehension)
  2. Planning and organizing experiments
    Describe and apply the basic elements of experiment planning and organizing, including determining the experiment objective; selecting factors, responses and measurement methods; choosing the appropriate design, etc. (Evaluation)
  3. Design principles
    Define and apply the principles of power and sample size, balance, replication, order, efficiency, randomization and blocking, interaction and confounding. (Application)
  4. Design and analysis of one-factor experiments
    Construct these experiments such as completely randomized block and Latin square designs, and apply computational and graphical methods to analyze and evaluate the significance of results. (Evaluation)
  5. Design and analysis of full-factorial experiments
    Construct these experiments and apply computational and graphical methods to analyze and evaluate the significance of results. (Evaluation)
  6. Design and analysis of two-level fractional factorial experiments
    Construct experiments (including Taguchi designs) and apply computational and graphical methods to analyze and evaluate the significance of results; understand limitations of fractional factorials due to confounding. (Evaluation)
  7. Taguchi robustness concept
    Apply Taguchi robustness concepts and techniques such as signal-to-noise ratio, controllable and noise factors, and robustness to external sources of variability. (Analysis)
  8. Mixture experiments
    Construct these experiments and apply computational and graphical methods to analyze and evaluate the significance of results. (Analysis)

B. Response Surface Methodology

  1. Steepest ascent/descent experiments
    Construct these experiments and apply computational and graphical methods to analyze the significance of results. (Analysis)
  2. Higher-order experiments
    Construct experiments such as CCD, Box Behnken, etc., and apply computational and graphical methods to analyze the significance of results. (Analysis)
  3. Evolutionary Operations (EVOP)
    Understand the application and strategy of EVOP. (Comprehension)
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