ENGINEERING TOOLS & METHODS
−− Reactions to causes of variation −− Requirements and specifications −− Control charts: SPC tools −− Benefits of SPC −− SPC implementation process • Quality Characteristic Determination −− Everything is a process −− Process flowchart and functions −− Quality characteristics generation — intermediate/final; variable/attribute −− Critical characteristics determination — final customer requirements; subsequent process requirements −− Process example • Quantification (measurement) of Quality −− Types of characteristics — variable; attribute −− Methods of measurement and measurement systems −− Measurement system capability • Sampling Strategy −− Sample size
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. While the course module is approximately 45 minutes in length, the estimated time to completion, including knowledge checks and the learning assessment is 90 minutes. Learning Objectives By participating in this On Demand Course, you will 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 Who Should Attend 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. Additional DOE modules are being planned to provide a comprehensive DOE curriculum. You many also consider attending the live web seminar Design of Experiments (DOE) for Engineers (WB0932) delivered in six, two-hour sessions led by Kevin Zielinski or the two-day classroom seminar with the same name and instructor (C0406). Topical Outline • 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
−− Sample frequency −− Sample structure
• Quality Planning Workshop • Basic Control Chart Types −− Variable: X and R charts — AIAG example; workshops
DAY TWO • Basic Control Chart Types (continued) −− workshops −− process capability indices (Cp & Cpk) • Attribute
−− np chart - number defective — AIAG example; workshops −− c chart - number of defects — AIAG example; workshops • Basic Chart Interpretation −− Basic decision rules −− Process responses — jumps, steps, shifts; trends; cycles • Documented process changes
Instructor: Fee: $1495
Phillip J. Ross
1.3 CEUs
URL:
sae.org/learn/content/c0553/
Introduction to Design of Experiments (DOE) for Engineers .75 Hours | On Demand Course I.D.# PD530932ON 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
Developer:
SAE International
Fee: $80
.2 CEUs
URL:
sae.org/learn/content/pd530932on/
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3 ways to get a no-obligation price quote to deliver a course to your company: Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning | Email us at corplearn@sae.org
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