CPC G06N 7/01 (2023.01) [G06F 16/9035 (2019.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A computer-implemented method, comprising:
receiving, from a measurement system, measurement values for a subset of a plurality of criteria attributes for each of a subset of a plurality of variants of an object being tested to generate a plurality of measurement value sets, each measurement value set comprising the measurement values for each of the subset of criteria attributes for a variant of the plurality of variants of the object;
prioritizing the subset of criteria attributes;
setting cross-functional variants for at least a portion of the plurality of criteria attributes;
filtering the plurality of measurement value sets based on objective values for each criteria attribute of the prioritized subset of criteria attributes;
for each criteria attribute among the filtered prioritized subset of criteria attributes:
compare the criteria attribute against other criteria attributes in the filtered prioritized subset of criteria attributes using a sequential computing algorithm to identify parallel relationships within and between the filtered prioritized subset of criteria attributes; and
identify a sweet spot for each criteria attribute in the filtered prioritized subset of criteria attributes for each variant of the object based on the identified parallel relationships.
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