Location
Logan, UT
Start Date
5-17-2022 10:05 AM
Description
Optimal Design of Experiments is currently recognized as the modern dominant approach to planning experiments in industrial engineering and manufacturing applications. This approach to design has gained traction among practitioners in the last two decades on two-fronts: 1) optimal designs are the result of a complicated optimization calculation and recent advances in both computing efficiency and algorithms have enabled this approach in real time for practitioners, and 2) such designs are now popular because they allow the researcher to ‘design for the experiment’ by working constraints, cost, number of experiments, and the model of the intended post-hoc data analysis into the design definition, thereby creating designs with more practical meaning than classical or catalogue designs. In this talk, I will review the definition of optimal design, discuss recent computational advancements in this field, and provide a survey of the expanse of this design approach in the agricultural literature.
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Included in
Overview of Optimal Experimental Design and a Survey of Its Expanse in Application to Agricultural Studies
Logan, UT
Optimal Design of Experiments is currently recognized as the modern dominant approach to planning experiments in industrial engineering and manufacturing applications. This approach to design has gained traction among practitioners in the last two decades on two-fronts: 1) optimal designs are the result of a complicated optimization calculation and recent advances in both computing efficiency and algorithms have enabled this approach in real time for practitioners, and 2) such designs are now popular because they allow the researcher to ‘design for the experiment’ by working constraints, cost, number of experiments, and the model of the intended post-hoc data analysis into the design definition, thereby creating designs with more practical meaning than classical or catalogue designs. In this talk, I will review the definition of optimal design, discuss recent computational advancements in this field, and provide a survey of the expanse of this design approach in the agricultural literature.