Events

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Online

New-User Intro to Design-Expert Software

Richard Williams, Stat-Ease Consultant, will detail what design of experiments (DOE) can do for you when catalyzed with Design-Expert's world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization and last, but not least, a look into mixture design for optimal formulation. Whether you want to do more with Design-Expert as a current user, or need a better tool for doing DOE, or enlightenment as to what these powerful multifactor-testing methods can do for you, this free webinar will be of great benefit.

Online

Leading-Edge Experiment Design for Aerospace

Via a series of case studies, this webinar demonstrates multifactor testing tools for aerospace R&D. See how Design-Expert empowers experimenters to quickly converge on the “sweet” spot—factor settings that meet all specifications. Engineers and scientists working in the aircraft, space and defense industries will do well by attending this briefing on design of experiments for screening and characterization, response surface methods for optimization (e.g., wing design), and mixture design for optimal formulation (e.g., composites).

Online

DOE Crash Course for Experimenters

Step up your design of experiments (DOE) know-how via this essential briefing on this multifactor-testing tool. A quick demo lays out what makes statistical DOE so effective for accelerating R&D. Discover how:
• Traditional one-factor-at-a-time scientific methods fall flat
• DOE will find your vital few factors and reveal breakthrough interactions
• To strategically choose the right design at just the right time
• Graphical tools point out the right directions and map out your sweet spot
The fuel provided in this 1-hour webinar will kick-start your first designed experiment. Get up to speed, enroll now!

Online

A Crash Course in Mixture Design of Experiments

Advance your R&D experimentation skills via this essential webinar on mixture experiments. A compelling demo lays out what makes mixture design of experiments (DOE) so effective for accelerating your formulation efforts. Discover how to:
• Identify key characteristics leading to a mixture experiment
• Use mixture DOE to create optimal formulations
• Map out your sweet spot with graphical tools

The fuel provided in this 1-hour webinar will kick-start your first formulation designed experiment.

Online

Deploying DOE to Predict Process Performance

Design of experiments (DOE) is a tried-and-true, multifactor quality tool for identifying key process drivers. This webinar demonstrates how to deploy DOE to create reliable prediction models. Similar in concept to estimating the power of a design, prediction precision becomes the key evaluation statistic. A case study demonstrates how to confirm that a particular design will provide the desired results - more reliable process settings.

Online

DOE for Ruggedness Testing

This presentation briefs technical professionals on design of experiment (DOE) tools aimed at developing systems that hold up when transferred to the field. As noted by the National Institute of Standards and Technology, “the purpose of a ruggedness test is to find the factors that strongly influence measurement results, and to determine how closely one… Read More »DOE for Ruggedness Testing

Online

New-User Intro to Design-Expert® Software

Richard Williams, Stat-Ease Consultant, will detail what design of experiments (DOE) can do for you when catalyzed with Design-Expert's world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization and last, but not least, a look into mixture design for optimal… Read More »New-User Intro to Design-Expert® Software

Online

The Difference Between Repeats and Replicates in DOE

Pat Whitcomb, Stat-Ease founder, illustrates the differing impacts of running repeated samples or measures, versus replicating runs. For a heads-up on this tricky issue, consider this advice from Pat Whitcomb when answering the question "Can I repeat the measurement rather than replicate the DOE run?" His answer: "Yes, but in this case you enter the… Read More »The Difference Between Repeats and Replicates in DOE

Online

DOE Crash Course for Experimenters

Step up your design of experiments (DOE) know-how via this essential briefing on this multifactor-testing tool. A quick demo lays out what makes statistical DOE so effective for accelerating R&D. Discover how: • Traditional one-factor-at-a-time scientific methods fall flat • DOE will find your vital few factors and reveal breakthrough interactions • To strategically choose… Read More »DOE Crash Course for Experimenters

Online

New-User Intro to Design-Expert® Software

Richard Williams, Stat-Ease Consultant, will detail what design of experiments (DOE) can do for you when catalyzed with Design-Expert's world-class statistical tools. Learn about factorial design, the core tool for DOE, followed by a peek at response surface methods (RSM) for process optimization and last, but not least, a look into mixture design for optimal… Read More »New-User Intro to Design-Expert® Software

 

Event Conditions

Course registration is binding. Upon cancellation more than 8 working days before the course start date, we invoice 50% of the course fee. Upon cancellation less than 8 working days before the course start date, we invoice the full course fee. Click here to read the full Terms and Conditions!