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Work Smarter Video Series

Graph illustrating accelerated battery production time with 15 cycles and 99.8% accuracy.

Discover how camLine’s AI-driven Battery Lifetime Predictor and Root Cause Analyzer accelerate battery R&D cycles by reducing testing times from weeks to hours. 
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ACADEMY
Upcoming Event

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Breakfast for Engineer: A Case Study on Standardizing Recipe Management

Date: July 29 ,2025
Location: Aloft Portland Airport, USA

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White Paper

Optimizing Factors in Experimental Design


In many designed experiments, factors with a known high influence on the response(s) are varied. As an example, the factor throughput of a combine harvester is used. The response considered are the loss of grain material or its quality. Other factors are adjustments to the machine and / or technical variants which usually have only a smaller effect on the response compared to the dominating factor throughput. In Cornerstone, regression models can be used to define targets for response variables that are to be achieved by varying the factors. In the example considered here, however, the factor throughput is to be maximized for a defined level of the response variable. Levers for this goal are the remaining factors.

Whitepaper cover for "Optimizing Factors in Experimental Design.

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