Trumpf Werkzeugmaschinen Gmbh + Co. Kg

Trumpf Werkzeugmaschinen Se & Co. Kg

Carina Mieth

Jens Ottnad

Frederick Struckmeier

Alexandru Rinciog

Jakob Rehof

Fadil Kallat

The disclosure relates to digital models of a production apparatus. The digital models can generate simulations of production sequences of the production apparatus, and a controller can access the simulation to improve operations of the production apparatus. The digital model uses data of a locating system to create the simulation. The locating system monitors carriers for transporting components. The controller can compare parameters of the simulation results with corresponding parameters of earlier simulation results and/or actually obtained parameters of earlier production sequences, which can be stored in a model library. The disclosure further relates to corresponding production control methods.

Production systems and production control methods with locating system-based simulations of production sequences

A method for optimizing production of sheet-metal parts, the production comprising cutting out and singularizing the sheet-metal parts and bending the sheet-metal parts, wherein the method includes: (A) training a neural network, which is executed on a Monte Carlo tree search framework, by means of supervised learning and self-play with reinforcement learning; (B) recording constraints for the sheet-metal parts, the constraints comprising geometric data of the sheet-metal parts; (C) creating an optimized production schedule by way of the neural network; and (D) outputting the production schedule.

Method and apparatus for optimized production of sheet-metal parts

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Gerlingen, Germany

Carina Mieth