Company insight
analysis and automated predictions. A key tool in this is the AkvisIO IME system from Kistler. It integrates data from various production and measurement equipment, such as sensors, and processes this raw data to make it comparable across different sources. Machine learning algorithms then analyse this data to assess overall production performance, predict maintenance needs, and identify anomalies.
Our vision is for AkvisIO IME to eventually foresee events that have never occurred before. To realise this, we focus on usability and user experience, ensuring that data is directly actionable for decision making without requiring extensive interpretation. Users can also incorporate their own insights into the analysis based on their experience. The software is designed to be modular, allowing us to add features and modules tailored to specific applications or user needs as AI advances. This flexibility enables superior process control, including trend analysis and prediction, which can improve process efficiency and reduce energy and material consumption.
AkvisIO IME from Kistler leverages data from production and measurement equipment to assess overall production performance.
Besides digitalisation, what other trends are shaping measuring technology for medical devices? In our key industries, circularity and the use of recyclates are becoming increasingly important. The medical device industry hasn’t fully embraced recyclate due to strict regulations. This could change if we develop solutions to effectively manage process fluctuations.
As recyclate use grows, accurate measurement technology will be crucial. Recyclates can cause viscosity variations in melts, so monitoring parameters like cavity pressure is essential for maintaining consistent product quality. AI could help here as well by detecting and predicting these fluctuations to ensure reliability. ●
www.kistler.com
Zero-defect production Maximum process control
ONE IN A MILLION IS STILL TOO MANY
www.kistler.com/medical
Kistler technologies help optimize complex manufacturing processes for critical medtech components – the key to 100 percent reliability and transparency in testing and production.
Medical Device Developments /
www.nsmedicaldevices.com 59
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