A method for controlling an automation process in real time based on a change profile of at least one process variable, comprises determining a first change profile by a real-time-capable recognition method based on a non-linear optimization process taking into consideration at least one boundary condition of the process variable, determining a second change profile by a numerical algorithm based on the first change profile, including adapting a selected profile function to the first change profile by a numerical adaptation process and identifying the adapted profile function as a second change profile, checking whether the second change profile satisfies at least one secondary condition of the process variable, controlling the automation process based on the second change profile if the second change profile satisfies the secondary condition, and controlling the automation process based on a predetermined fallback profile if the second change profile does not satisfy the secondary condition.

A system for predicting control factors for a manufacturing facility, performed by at least one processor, includes: a model execution management unit configured to execute or manage one or more facility control factor prediction models trained to predict control factors for a manufacturing facility received from a prediction model providing system, a storage unit configured to store data associated with the facility control factor prediction models, and a communication unit configured to receive an independent factor of one of a plurality of manufacturing facilities from a facility control system, and configured to transmit a control factor predicted value calculated by one of the one or more facility control factor prediction models based on the independent factor to the facility control system.