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In business, mistakes can cost time and money. But in precision manufacturing, those mistakes aren’t always easy to spot.
Manufacturing doesn’t just require precision – it demands it. Take our character, Sneyha. Her team are under constant pressure to produce every component perfectly and on time. But with tight deadlines, there’s zero room for error.
With the latest technology, we could help businesses like Sneyha’s to meet those tough demands. For example, Sneyha could use AI-powered software to continuously monitor processes, identify errors and proactively correct them – all in real time. Even the smallest of flaws could be identified. And for businesses that rely on speed, accuracy and reliability, this sort of capability would be a game-changer.
Sneyha - Overview
Sneyha - How would it work

How would it work?

By combining technologies in new ways, the manufacturing industry could do what it never thought possible.
In Sneyha’s factory, there would be multiple technologies working together. Behind the scenes, would be a Mobile Private Network (MPN) which all devices and machines would be connected to. This would provide dedicated, consistent connectivity – and prevent unexpected interruptions.
Multi-Access Edge Computing (MEC) would bring computing power to the network edge – closer to where it’s needed. This means quicker response times and less delay: game-changing in the world of manufacturing. With MEC, machine sensors can communicate data back and forth in milliseconds, as part of an autonomous feedback loop. AI technologies could then scan the manufacturing process in real time, signalling errors or stopping work if the quality wasn’t up to standard. High-precision changes could also be added to the process, so subsequent parts could be manufactured without flaws.

This combination of machine sensors, AI and cutting-edge cloud technology – integrated with an intelligent network – would enable an autonomous, decentralised manufacturing system where machines make the right decisions without the need for human interaction. Manufacturers could increase productivity, minimise waste and deliver a high-quality product to market – every time.

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What else is possible?

Utilising these technologies in manufacturing is just the tip of the iceberg.

For example, by using AI-powered quality management technology on a 5G network, integrated to the cloud, farmers could get a constant view of their crops or livestock. The technology could detect adverse changes in the environment and react quickly to address them, before they create bigger problems.

It’s the same for transport and logistics – an industry where quality control is essential. Stock could be monitored at every point along the journey, in real time. Everything from air temperature to moisture could be tracked, making sure the stock is kept in premium condition. And if it’s not, suppliers and buyers could act fast to minimise waste.

These real-time capabilities would also be beneficial for renewable energy, where sensors could be used to monitor wind turbines and report disruptive changes in weather conditions.  Or what about construction, where the technology could be used to connect, control or monitor an entire network of smart tools, such as cranes or drills. The possibilities, across all industries, really are exciting.