Intelligente Anlaufsteuerung für die Batteriezellenproduktion

Abstract The ramp-up of production lines as a result of changing product variants or production processes puts battery cell manufacturers under enormous quality and cost pressure due to high reject rates. A control system based on artificial intelligence methods can help to speed up the start-up processes. The InTeAn research project developed a procedure for developing a process control system to reduce ramp-up times and costs in battery cell production.

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Publication Details

Journal
Zeitschrift für wirtschaftlichen Fabrikbetrieb
Published
2024-10-20
DOI
https://doi.org/10.1515/zwf-2024-1129
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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Intelligente Anlaufsteuerung für die Batteriezellenproduktion

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Intelligente Anlaufsteuerung für die Batteriezellenproduktion

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article en

Abstract

Abstract The ramp-up of production lines as a result of changing product variants or production processes puts battery cell manufacturers under enormous quality and cost pressure due to high reject rates. A control system based on artificial intelligence methods can help to speed up the start-up processes. The InTeAn research project developed a procedure for developing a process control system to reduce ramp-up times and costs in battery cell production.

Zeitschrift für wirtschaftlichen FabrikbetriebVol. 119(10)
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (DE), RWTH Aachen University (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Scheduling and Optimization Algorithms
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