Six Sigma Black Belt: Understanding DOE and Planning Experiments

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Six Sigma teams concluding the Analyze phase of DMAIC with a well-understood problem, strive to generate a powerful solution in the Improve phase. Design of experiments (DOE) is a controlled approach to experimentation that enables teams to systematically change the level of one or more input factors and observe the effects on the targeted response. If teams exercise care in choosing the right design – including suitable factors, levels, and responses – their experiments can reveal the precise combination of factors that will optimize the response. Later, that combination will be tested, validated, and ultimately implemented to effect the desired process improvement. This course surveys the concepts that are fundamental to design of experiments methodology. This course also explores the basic elements of experiments, principles of good experimental design, and strategies for designing experiments with desired power and resolution, and resource and time constraints. The focus is on the planning stage of DOE, when teams set experimental objectives, choose the best experimental design, and prepare to run the experiments. In describing these activities, the course explores the questions teams should consider at each stage of planning. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    identify the purposes of design of experiments (DOE)
    match key design of experiments (DOE) concepts with examples
    distinguish between reasons for using repetition and replication
    recognize a balanced experiment from its design table
    recognize factors that should be blocked and randomized in a given scenario
    calculate the interaction effect between factors in a given scenario and determine its significance
  • recognize the role of power in an experiment
    match common experimental resolution levels to descriptions
    classify the goal of an experiment, in a given scenario
    identify considerations related to measurement methods in DOE
    identify recommendations for choosing responses, factors, and levels in an experiment
    choose an experimental design in a given scenario
    recognize the differences between full and fractional factorial designs

IN THIS COURSE

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    1. 
    Six Sigma Black Belt: Understanding DOE and Planning Experiments
    2m 39s
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    2. 
    Design of Experiments Purpose and Key Terms
    18m 19s
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    3. 
    Applying Principles of Good Experimental Design
    10m 50s
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    4. 
    Understanding Effects and Power in Experiments
    13m 31s
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    5. 
    Resolution Levels in Experiments
    9m 45s
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    6. 
    Determining Experimental Goals
    10m 43s
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    7. 
    Establishing Responses, Factors, & Measurement
    13m 48s
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    8. 
    Choosing an Appropriate Experimental Design
    13m 28s

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