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A video thumbnail showcasing 3D visualization of InFrame Synapse MES system for medical device traceability, demonstrating compliance with global regulations on a factory floor.

Discover how camLine MES solution addresses medical manufacturers' challenges in transitioning from paper-based processes to digital excellence.
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Date: May 12 - 15, 2025
Location: Booth 8730, Hall E Huntington Place | Detroit, Michigan

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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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