Introduction to Design of Experiments (DOE) for Engineers PD530932ON

Topics: Computer software and hardware , Test procedures , Systems engineering , Manufacturing processes , Analysis methodologies , Optimization

Design of Experiments (DOE) is a methodology that can be effective for general problem solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include, but are not limited to, identifying root causes to quality or production problems, identifying optimized design and process settings, achieving robust designs, and generating predictive math models that describe physical system behavior.

This introductory on-demand course provides an example scenario to give learners the opportunity to discover situations that may warrant a designed experiment. As the scenario is developed, the audience learns the DOE process steps and the definition of relevant terms. The topics covered include the benefits of conducting a DOE, DOE history, and the goals of different types of DOEs. Finally, examples of several success stories are provided to demonstrate the broad range of situations that have benefited from experimentation.

Objectives

By participating in this on-demand course, you'll be able to:

  • Describe the DOE process steps
  • Define terms that are relevant to an introduction to DOE
  • Explain the benefits, history, and types of DOEs
  • Describe how DOE relates to other engineering tools/methods
  • State several examples where the DOE process was used successfully 

Materials Provided

  • 90 days of online single-user access (from date of purchase)
  • Nearly 45 minutes of presentation
  • Integrated knowledge checks to reinforce key concepts
  • Online learning assessment (submit to SAE)
  • Glossary of key terms
  • 0.2 CEUs*/Certificate of Achievement (upon completion of all course content and a score of 70% or higher on the learning assessment)

*SAE International is authorized by IACET to offer CEUs for this course.

Is this On Demand Course for You?

This course will benefit engineers involved in product design and/or optimization; process design and/or optimization; quality improvement efforts such as defect elimination, warranty avoidance or similar initiatives; and technicians, analysts and managers who support engineers in these efforts. This course has no specific course prerequisites.

See the options next to the Add to Cart button for details on buying this introductory module only, the full course package, and/or the core modules that build on the introduction. 

Prefer live, instructor-led training? Consider the classroom course, Design of Experiments (DOE) for Engineers.

Testimonial

 

 

For More Details

Email CustomerService@sae.org, or call 1-877-606-7323 (U.S. and Canada) or 724-776-4970 (outside US and Canada).

  • DOE example
  • Benefits to using the DOE process
  • History
  • Types/Goals of DOE
  • Relationship to other tools
  • Examples of where the DOE process was used successfully 

  • Windows or macOS
  • Microsoft Edge, Mozilla Firefox, Google Chrome, Safari (Other OSs and browsers including mobile devices are not supported by may work)
  • Broadband-1Mbps minimum

Access Period: 90 Days      CEUs: 0.2

Duration: 1.5 Hours
Members save up to 10% off list price.
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Special Offers:

This course is FREE as a benefit to all SAE Student Members. Student Members must contact Customer Service to register.

Have colleagues who need this course? Purchase access for one individual at the appropriate member or list price, then purchase access for up to four additional employees at 10% off the list price. Contact SAE Customer Service to arrange online access for all individuals at the same time or mention the confirmation number for the first purchase. The offer is good for only the same On Demand Course. All participants will receive a personal account and opportunity for CEUs.

OR

Quantity discounts for six or more students and corporate access options also are available - complete a Corporate Learning Solutions Request Form for a quote.

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