DIGITAL PRODUCTION | MACHINERY
Data capture BMSvision unveiled its latest Manufacturing Execution System (MES) technology at this year’s K2025 show. These monitor and synchronise all manufacturing and logistic activities, from order input and inventory management to the delivery of the finished product. The company says its robust 24/7 data capture is rare in the industry. The latest version combines AI-driven intelligence, advanced quality control and sustainability tools, says the company. “Our systems are engineered for reliability even in the most demanding industrial environments,” said Jan Bogaert, CEO of BMSvision. “This continuous data capture ensures real-time production visibility, enabling rapid identification of bottlenecks and minimising downtime.” Combining this with energy data allows MES to optimise cost and energy consumption. “This year, we are adding capability that will allow our customers to analyse more data, automate more and reduce energy consumption,” he added.
Sensor importance Pascal Bibow, product manager for digital solutions plastics at Kistler, says sensors are a critical part of digitalisation – as they collect the raw data that helps to boost performance. “Once the right data has been collected, the injection moulder can optimise their process – to maintain shorter cycle times, increase production efficiency and avoid rejects at an early stage,” he said.
However, the challenge is to handle the data
correctly so that it can be evaluated – allowing quality decisions to be made in parallel by several machines in short cycle times. The ComoNeo process monitoring system from Kistler will measure cavity pressure precisely and
compare the resulting measurement curve with a defined target curve. “Product quality can then be predicted with the
help of artificial intelligence by ComoNeoPredict,” he said.
AI gives expanded possibilities – such as analysing data, making automated predictions and anomaly detection, he says. Kistler’s AkvisIO IME data platform can visualise and analyse data from machines and process monitoring systems. Tool configurations, reference curves and monitoring objects can be transferred and managed both on the host computer and directly on the machine. “They are then immediately available as a basis for decision-making,” he said. “Our goal is to reach a point where AI takes over the interpretation and the data becomes even easier to use.”
CLICK ON THE LINKS FOR MORE INFORMATION: �
www.engelglobal.com �
www.sumitomo-shi-demag.eu �
www.arburg.com �
www.netstal.com �
www.bmsvision.com �
www.kistler.com
Above: Kistler says better data monitoring can raise product quality
THERMOPLASTIC COMPOSITES
High-performing reinforced materials for Injecton Moulding and Additve Manufacturing
PERFORMANCE LIGHTWEIGHT
IMAGE: KISTLER
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