Multi-modality build-to-build and fleet-level variability analytics and adjustment of additive machine, process health, and build quality

A non-transitory computer-readable medium comprising instructions that, when executed by processor circuitry, cause the processor circuitry to at least:

• group data for a plurality of builds associated with one or more additive manufacturing machines;
• extract features from the grouped data;
• process the grouped data with respect to the features to determine a measure of variability for each feature;
• compare the measure of variability for each feature to a respective allowable limit associated with the respective feature;
• and
• provide actionable output to adjust at least a first additive manufacturing machine.

A method for analyzing and managing variability in an additive manufacturing machine, the method comprising:

• grouping, by executing an instruction using processor circuitry, data for a plurality of builds associated with one or more additive manufacturing machines;
• extracting, by executing an instruction using processor circuitry, features from the grouped data;
• processing, by executing an instruction using processor circuitry, the grouped data with respect to the features to determine a measure of variability for each feature;
• comparing, by executing an instruction using processor circuitry, the measure of variability for each feature to a respective allowable limit associated with the respective feature;
• and
• providing, by executing an instruction using processor circuitry, actionable output to adjust at least a first additive manufacturing machine.