Six Sigma Black Belt: Understanding DOE and Planning Experiments
Everyone
- 8 videos | 1h 33m 1s
- Earns a Badge
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
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Discover the key concepts covered in this courseIdentify the purposes of design of experiments (doe)match key design of experiments (doe) concepts with examplesDistinguish between reasons for using repetition and replicationrecognize a balanced experiment from its design table, and recognize factors that should be blocked and randomized in a given scenarioCalculate the interaction effect between factors in a given scenario and determine its significance, and recognize the role of power in an experiment
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Match common experimental resolution levels to descriptionsClassify the goal of an experiment, in a given scenarioIdentify considerations related to measurement methods in doeidentify recommendations for choosing responses, factors, and levels in an experimentRecognize the differences between full and fractional factorial designschoose an experimental design in a given scenario
IN THIS COURSE
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2m 39sAfter completing this video, you will be able to discover the key concepts covered in this course. FREE ACCESS
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18m 19sAfter completing this video, you will be able to identify the purposes of design of experiments (DOE) and match key design of experiments (DOE) concepts with examples. FREE ACCESS
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10m 50sAfter completing this video, you will be able to recognize a balanced experiment from its design table, recognize factors that should be blocked and randomized in a given scenario, and distinguish between reasons for using repetition and replication. FREE ACCESS
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13m 31sAfter completing this video, you will be able to calculate the interaction effect between factors in a given scenario and determine its significance, recognize the role of power in an experiment. FREE ACCESS
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9m 45sAfter completing this video, you will be able to match common experimental resolution levels to descriptions. FREE ACCESS
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10m 43sAfter completing this video, you will be able to classify the goal of an experiment, in a given scenario. FREE ACCESS
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13m 48sAfter completing this video, you will be able to identify recommendations for choosing responses, factors, and levels in an experiment, and identify considerations related to measurement methods in DOE. FREE ACCESS
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13m 28sAfter completing this video, you will be able to recognize the differences between full and fractional factorial designs, and choose an experimental design in a given scenario. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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