EMBEDDED TECHNOLOGY
Smart manufacturing: Five ways to properly digitise your business
Manufacturing is one of the UK’s most ambitious sectors, having embraced digitalisation with open arms. With 90 per cent of UK manufacturers planning or progressing with smart factory initiatives, it’s safe to say that technology is already having a marked impact by than ever.
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hen it comes to implementing new technology in your factories and throughout your supply chain, strategy is a paramount concern. Adopting new technologies without a long-term plan is unlikely to yield the results you might have hoped for. With that thought in mind, we digitalisation strategy goes smoothly, with insight from Basingstoke-based custom cable assemblies manufacturer, GTK.
Investing in connected data infrastructure
adopting smart manufacturing infrastructure involves using Internet of Things (IoT)- integrated items and smart sensors that can
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gather real-time data from machines and production lines.
These data-driven insights are at the core of the smart manufacturing revolution, helping establish bottlenecking and business. However, taking the correct steps in the earliest stages of adopting this tech is vital in ensuring the scalability and long-term function of your IoT integration. Edge computing – i.e. processing some of the information from your sensors locally, close to your machines, rather than sending all data to the cloud for processing – will help reduce latency, enabling your machines to make split-second decisions when and where required. It also means you’re protected in the event of outages to your system.
APRIL 2026 | ELECTRONICS FOR ENGINEERS
Forecasting outages and maximising ROI
Once you’ve established your data sources and compiled information about the used to help your business adopt predictive analytics. Applying AI machine learning models to parameters like machinery vibration, temperature and oil condition will help predict equipment breakdowns. Forecasting equipment breakdowns means you can pre-empt maintenance and reduce, or possibly even eliminate, downtime. Correct AI application can help you reap input enough data, it’ll be able to help advise on how to balance production runs with workforce availability, raw material supply
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