ENGINEERING TOOLS AND METHODS
Who Should Attend This seminar is designed for product and process design engineers, manufacturing engineers, quality engineers (control, assurance, or supplier), testing and development engineers, and technical managers who are interested in more comprehensive experimental analyses and information. Although, more statistical in nature, this seminar does not require a statistical education or background to comprehend the contents; only fundamental mathematical skills are necessary. This seminar is also very helpful in providing a statistical foundation for those seeking certification in quality engineering. It is strongly recommended that the registrant attend a Basic Design of Experiments course or have experience with fractional factorial experiments based on orthogonal arrays before attending the ANOVA for Design of Experiments course.
• Hybrid Acceleration Methods −− Using information goals of individual test methods to combine and leverage tests −− Hands-on team exercise: combine test methods to solve a particular information need
• Decision and selection process −− How to choose which method −− Considering position in supply chain −− Considering business model and product type −− Considering development phase
−− Considering component, subsystem, and system level testing −− Hands on team exercise: selecting optimal testing solution for several scenarios
Instructor: Fee: $1495
Alexander (Alex) J. Porter
1.3 CEUs
Topical Outline • Training Objectives
URL:
sae.org/learn/content/c0316/
• Design of Experiments Process Flowchart • Planning and Conducting Phase Review • Analyzing and Interpreting Results
Accelerated Test Methods for Ground and Aerospace Vehicle Development On Demand Course I.D.# PD730624 This On Demand Course is in production at the time of catalog printing.
−− Observation method review −− Column effects method review −− Raw data ANOVA — one-way; two-way; multi-way with
orthogonal arrays −− Variation ANOVA −− Attribute data ANOVA −− Interpreting experimental results −− Plotting −− Prediction of mean and confidence interval −− Confirmation experiment −− Process capability estimates • Software Review and Comparison
Instructor:
Alexander (Alex) J. Porter
URL:
sae.org/learn/content/pd730624/ (when course is available)
ANOVA for Design of Experiments 1 Day | Classroom (Available for Private Delivery Only) I.D.# C0714 This seminar is suggested for product or process experts who have a need to utilize more detailed information concerning Design of Experiments analysis. It primarily addresses the subject of ANOVA, analysis of variance, which is a statistically based, objective decision-making tool. This is an advanced seminar that covers the fundamentals required to analyze orthogonal experiments, interpret, and recommend further action based on the analysis. Emphasis is placed on the analysis phase of the DOE process. The seminar covers DOE basic review, simple and complex ANOVA situations, process capability estimation, and a review of available computer software for experimental design and analysis. Learning Objectives By attending this seminar, you will be able to: • Perform ANOVA for DOE analysis • Interpret ANOVA results • Estimate process capability from ANOVA information
Instructor: Fee: $835
Phillip J. Ross
.7 CEUs
URL:
sae.org/learn/content/c0714/
Design and Process Failure Modes and Effects Analysis (FMEA) 2 Days | Classroom Seminar I.D.# C1510
This seminar covers the five types of FMEAs with emphasis on constructing Design and Process FMEAs. Each column of the FMEA document will be clearly explained using an actual FMEA example. The course covers various methods for identifying failure modes, effects and causes with special attention given to severity, occurrence, and detection tables and how to develop effective recommended actions strategies. Throughout the class, partic- ipants will be involved in exercises/actual projects that demon- strate and incorporate direct application of learned principles.
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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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