Aluminum manufacturing process with retroaction loop

A method of producing an article of aluminum through a series of subsequent phases in which is processed, using production equipment, a volume of aluminum, the method comprising:

• having an Artificial Intelligence (AI) system receiving at least one manufacturing parameter to be optimized for the article or its production;
• having the AI system processing the at least one to-be-optimized manufacturing parameter and generating at least one operating condition for a first phase among the series of subsequent phases;
• having the AI system processing the at least one operating condition, and generating at least one Al operating parameter for processing the volume of aluminum using production equipment associated with the first phase;
• having the production equipment associated with the first phase processing the volume of aluminum according to the at least one AI operating parameter;
• wherein there is a first operating parameter for obtaining a volume of aluminum having an optimized quality characteristic at the end of the first phase, and
• wherein having the production equipment associated with the first phase performing the at least one AI operating parameter generates a deviation compared with having the equipment associated with the first phase performing the first operating parameter.