System and method for automatically determining optimization process algorithm using machine learning model

Abstract

An artificial intelligence-based process optimization method includes: executing one or more unit processes in different sequences, wherein, in the unit processes, an entire process for manufacturing a product is executed in a series of sequences, evaluating each of the unit processes in accordance with an evaluation criterion by a reading module while each execution progresses, collecting execution data generated by cumulatively evaluating the unit processes in sequence, and transmitting the execution data to a determination module; and generating instruction data as the execution data for an optimal execution determined among a plurality of executions in which the unit processes are executed in different sequences by the determination module, based on the execution data of the reading module.

Dependencies are inferred from the claim text.