Optimizing Battery Production with
Advanced MES Solutions
Driving Efficiency in Battery Manufacturing
Battery production is a complex process that requires precision, data-driven decision-making, and continuous optimization. One of the biggest challenges manufacturers face is high scrap rates, particularly during the ramp-up phase. Early identification of inefficiencies is essential to improving production yield, reducing waste, and maintaining cost-effectiveness.
At the camLine forum 2024, Simon Voss, Founder and Chief of BETTERE GmbH, shared his insights on how advanced manufacturing solutions help manufacturers tackle these challenges. He discussed the importance of sensor technology, digitalization, and Manufacturing Execution Systems (MES) in creating a more controlled, efficient, and scalable battery production process.
Bridging the Gap Between Lab and Industrial Production
With experience in battery pilot production at eLab RWTH Aachen, Simon has a deep understanding of the transition from research to large-scale manufacturing. He emphasized the role of real-time process monitoring and predictive analytics in minimizing scrap rates and ensuring product consistency.
"Currently, scrap rates in large-scale battery production can reach 10–20%, and during ramp-up phases, the rates are even higher. To achieve higher efficiency, manufacturers must integrate sensor data with intelligent software solutions that not only track process parameters but also provide actionable insights for optimization."
— Simon Voss, Founder & Chief, BETTERE GmbH
Advancing Battery Production with camLine Solutions
At camLine forum, Simon engaged in discussions about the latest MES advancements, including InFrame Synapse and process evaluation with Cornerstone. These solutions play a vital role in enhancing data visibility, predictive maintenance, and real-time quality control, empowering battery on manufacturing operations optimization.
By leveraging structured manufacturing data and AI-driven analytics, companies can gain early insights into production performance, reduce defects, and achieve a more reliable and scalable battery manufacturing process.

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