COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR DETERMINING AT LEAST ONE MACHINE

The invention relates to a computer-implemented method and system for determining at least one machine for processing plastics on the basis of criteria determined for producing a component (2.14). In a reference database (RD), reference machine data (2.4) are provided, comprising reference partial datasets (RTDS) required for determining machine parameters. User data (2.3) are provided as determined criteria in a data store (2.2), which user data (2.3) comprise data required for producing at least one component (2.14). A simulation for producing the component (2.14) takes place on the basis of the user data (2.3) on a machine by generating simulation datasets. The simulation datasets are segmented in order to extract partial datasets, wherein the partial datasets relate to machine-related machine parameters with which a machine should be operated in order to produce the component (2.14). The partial datasets are compared with reference partial datasets to identify partial matches, in order to output a minimum requirement of a machine when producing the component (2.14). The minimum requirement is compared, using federated learning, with available machines in order to determine at least one machine suitable for producing the at least one component (2.14), and this machine is then operated accordingly. As a result, at least one machine can be provided to a user for use thereof, which machine is the best-suited for this purpose, according to the circumstances.