Deploying DOE to Predict Process Performance

presented by Shari Kraber

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.

Can’t make this time? Register anyway so that you are notified when the recording is ready.

Date: Tuesday, June 29, 2021
Time: 10:00am Central US Time