METHOD AND SYSTEM FOR CONTROLLING A PRODUCTION SYSTEM TO MANUFACTURE A PRODUCT
A machine learning module is provided trained to generate from a design data record specifying a design variant, a predictive performance distribution and a constraint compliance distribution of the design variant. A predictive performance distribution and a constraint compliance distribution are ge...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
22.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A machine learning module is provided trained to generate from a design data record specifying a design variant, a predictive performance distribution and a constraint compliance distribution of the design variant. A predictive performance distribution and a constraint compliance distribution are generated by the machine learning module. The predictive performance distribution is compared with performance values of previously evaluated design data records. A simulation of the corresponding design variant is either run or skipped. A design evaluation record is output which includes 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. Depending on the design evaluation records, a performance-optimizing and constraint-compliant design data record is selected from the variety of design data records. The selected design data record is then output for controlling the production system. |
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Bibliography: | Application Number: US202418441652 |