Achim Kampker, Paul Linghor
This document presents an overview of the advancements and methodologies in data-driven production, specifically in the context of battery cell manufacturing. The objective of this research is to optimize manufacturing technology for electric mobility and stationary energy storage through the integration of artificial intelligence (AI) and digitalization. Utilizing a comprehensive approach that combines machine learning techniques with practical applications in production systems, the methodology includes interdisciplinary projects and collaborations with industry partners. The results indicate significant improvements in productivity and efficiency in manufacturing processes, highlighting the transformative potential of AI and digital technologies in the production landscape. The findings are expected to serve as a reference for industry practitioners and researchers aiming to enhance the manufacturing of battery systems and other related technologies.
@article{360b56f3-dc31-49f8-b618-8a213a02f122,
title={Data DrivenProduction2026 03},
author={Achim Kampker and Paul Linghor},
year={2026},
language={en}
}TY - JOUR TI - Data DrivenProduction2026 03 AU - Achim Kampker AU - Paul Linghor PY - 2026 LA - en ER -
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