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Production at the Leading Edge of Technology: Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP), Hannover, September 2025
Production at the Leading Edge of Technology: Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP), Hannover, September 2025
Production at the Leading Edge of Technology: Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP), Hannover, September 2025
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This open access book contains all contributions to the congress, in which both detailed scientific investigations and technological innovations in the process chains of machining and forming are discussed as well as comprehensive, far-sighted overall views on the planning and control of production processes. These approaches are supplemented by more interdisciplinary cross-sectional topics such as robotics, control engineering, automation, materials technology, additive manufacturing and human-centered production. It is particularly striking that the main approaches presented aim to improve efficiency in production using data-driven methods such as machine learning and artificial intelligence. However, the use of measurement results to improve simulations is also frequently addressed. The book proceedings show that transformations can only succeed through the realization of both detailed technical improvements in production technologies and optimized production organization.
This open access book contains all contributions to the congress, in which both detailed scientific investigations and technological innovations in the process chains of machining and forming are discussed as well as comprehensive, far-sighted overall views on the planning and control of production processes. These approaches are supplemented by more interdisciplinary cross-sectional topics such as robotics, control engineering, automation, materials technology, additive manufacturing and human-centered production. It is particularly striking that the main approaches presented aim to improve efficiency in production using data-driven methods such as machine learning and artificial intelligence. However, the use of measurement results to improve simulations is also frequently addressed. The book proceedings show that transformations can only succeed through the realization of both detailed technical improvements in production technologies and optimized production organization.
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