Maximised information content from your experiment with continuous improvement in DoE

The most flexible DOE approach is called optimal design of experiments. That approach allows you to create tailor-made experimental designs, taking into account any budget constraints and logistic difficulties. Except in those rare case where an optimal experimental design is known with certainty, tailor-made experimental designs are computed using heuristic optimization algorithms such as coordinate-exchange algorithms, point-exchange algorithms or metaheuristics methods such as simulated annealing.

While these algorithms generally produce good results, they cannot guarantee that they find the very best design for your case. As a result, the design that you get from your favorite software may be worse than the one your competitor gets for the same problem. The design you get today for a given scenario may be worse than the one you got yesterday.

𝗢𝘂𝗿 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝘀 𝘁𝗵𝗮𝘁 𝘁𝗵𝗲 𝗱𝗲𝘀𝗶𝗴𝗻 𝘆𝗼𝘂 𝗰𝗿𝗲𝗮𝘁𝗲 𝘁𝗼𝗱𝗮𝘆 𝗶𝘀 𝗮𝘁 𝗹𝗲𝗮𝘀𝘁 𝗮𝘀 𝗴𝗼𝗼𝗱 𝗮𝘀 𝗮𝗻𝘆 𝗱𝗲𝘀𝗶𝗴𝗻 𝗰𝗿𝗲𝗮𝘁𝗲𝗱 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀𝗹𝘆 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗯𝗹𝗲𝗺.This is possible due the cloud-based nature of Effex.

Effex keeps track of all good designs generated by its users, and it stores the very best ones. If you want to create a new design in Effex, then Effex executes its coordinate-exchange algorithm (as do other software packages) and compares the resulting design to the best design previously generated. In the final step, Effex returns the best of the two designs. This way, the DOEs on offer will continuously improve. Smart, isn’t it?

At Effex, it is our conviction that, when generating experimental designs for its user, we have to take advantage of 21st century technology. Rather than starting from scratch whenever a new design is needed, Effex exploits the advantages of cloud-based software to build on existing DOE knowledge and lets its users benefit from it!