Method and system for controlling a production system to manufacture a product

A computer-implemented method for controlling a production system to manufacture a product satisfying a predefined technical constraint, comprising:

• a) providing a machine learning module trained to generate from a design data record specifying
• a design variant of the product
• a predictive performance distribution of a performance of the design variant, and
• a constraint compliance distribution of a fulfillment or violation of the constraint by the design variant,
• b) generating a variety of design data records each specifying a different design variant of the product,
• c) for a respective generated design data record
• generating a predictive performance distribution and a constraint compliance distribution by the machine learning module,
• comparing the predictive performance distribution with performance values of previously evaluated design data records,
• depending on the constraint compliance distribution and the compariing, either running or
• skipping a simulation of the corresponding design variant, and
• outputting a design evaluation record comprising a performance value and constraint compliance data each derived from the simulation if the simulation is run or, otherwise, each derived from the predictive performance distribution and the constraint compliance distribution,
• d) depending on the design evaluation records selecting from the variety of design data records a performance-optimizing and constraint-compliant design data record, and
• e) outputting the selected design data record for controlling the production system.