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4 DOE Case Studies

Peter Goos presents four case studies from theĀ Optimal Design of Experiments book he co-authored with Bradley Jones. He introduces each case by describing the type of experiment and when and why it is useful. Next, he demonstrates how to set up the experiment in the JMP software and how to analyze the resulting data.

Presentation material taken from Optimal Design of Experiments: A Case Study Approach by P. Goos and B. Jones.

CASE STUDIES

Yield Maximization Experiment: A Response Surface Design in an Irregularly Shaped Factor Region

The presenter designs an experiment for investigating a chemical reaction using a full cubic model in two factors. Because many factor-level combinations are known to be infeasible in advance, the two factors cannot be varied completely independently of each other.

Stability Improvement Experiment: A Screening Design in Blocks

The presenter creates a blocking design to determine what factors impact the stability of a vitamin. The process mean shifts randomly from day to day and the investigator wants to explicitly account for these shifts in the statistical model.

Wind Tunnel Experiment: A Split-plot Design

The presenter designs an experiment run in a wind tunnel where it is possible to vary certain factors without shutting down the tunnel and other factors can only be changed by shutting down the tunnel.

Laser Etching Experiment: A Definitive Screening Design in Blocks

The presenter creates a definitive screening design to determine optimal settings for a laser etching process.