Orchestration of learning and execution of model predictive control tool for manufacturing processes

A method of controlling a manufacturing process, the method executed by at least one hardware processor, the method comprising:

• receiving manufacturing process characteristics associated with the manufacturing process;
• and
• based on at least one of the manufacturing process characteristics, determining a prediction time at which to execute a selected machine learning model selected from multiple trained machine learning models, and at the prediction time, executing the selected machine learning model based on process data associated with the manufacturing process, the executing of the selected machine learning model predicting a control set point for future values of state variables of the manufacturing process;
• and
• sending the control set point to a control system to control the manufacturing process by adjusting to the control set point.