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.

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.