Danny Jones, sales director at Stuga, a Voilàp Company, talks about how they are using AI to analyse machinery data to ensure optimum performance and efficiency, monitor machinery maintenance and help fabricators to future-proof their factories.
In our fast-paced window and door manufacturing sector, operational efficiency, machinery uptime, and long-term return on investment are the bedrock of a profitable window fabrication business.
Having a supply partner that not only helps you to optimise efficiency, but also to monitor any potential future risks, is the best way to ensure that your factory can maintain high levels of production and forward-plan for maintenance and upgrade programmes.
At Stuga, we have always designed our cutting and machining centres for long-term endurance. Now, we are combining that robust mechanical engineering with cutting-edge artificial intelligence to give our customers unprecedented clarity, control, and efficiency across their factory floors.
Turning raw operational data into actionable insights
Our team has leveraged ever-improving AI technology to create an in-house system that helps us to pull and analyse huge sets of data, live from our machines, so that we can create detailed reports on machinery health and performance.
Instead of being reliant on theories or guesswork, the AI model interrogates the real-world data of a machine to deliver the numbers that matter. For our sawing and machining centres, the AI can give us information such as the average and peak number of cuts over months of production and average outputs per shift to pinpoint issues such as machine downtime trends and performance inconsistencies.
From here, we can highlight potential risks and create an improvement or upgrade plan. This could be anything from highlighting critical hardware risks – such as aging hard drives that are obsolete and have depleted global stock – to replacing small mechanical components that have been subject to wear and tear for a few too many years.
It also tells us which machines are running at optimum capacity, when a machine is nearing maximum capacity and how those numbers compare with other machine averages in factories across the country.
This deep dive on the data, which would take a human days, or even weeks to collate and analyse, allows us to generate clear, visual reports that reflect the true health of our customer’s fleet of machinery.
Identifying these vulnerability points early, means we can support fabricators to make proactive, data-backed decisions long before a crucial component failure which can halt production.
Your machine lifecycle
One of Stuga’s core values has always been our commitment to machine longevity. We don’t take the approach of discarding perfectly sound mechanical structures simply because the underlying electronics have reached end-of-life. Instead, we take the real world data and look at how improvements can be made to eliminate risk and maximise efficiency.
We’re using this new AI reporting functionality to give fabricators all the information they need to make an informed decision, whether that’s to upgrade, rebuild, or replace with a new, higher-output asset.
Real world data analysis helps us present clear options: upgrading components, rebuilding existing systems, or investing in new machinery to address obsolescence.
By transforming complex datasets into clear, actionable insights, Stuga is empowering fabricators to not only maintain their current pace but to scale with confidence. This commitment to a data-driven partnership ensures that your machinery remains a strategic asset for years to come, securing your factory’s future productivity and profitability in an evolving market.
