How will artificial intelligence revolutionise manufacturing ?

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Photo by Maxime VALCARCE on Unsplash

Artificial Intelligence is stirring up a storm in many sectors, in no other sector is artificial intelligence having more of an impact than on manufacturing.

The advent of artificial intelligence for manufacturing will revolutionise the entire sector. This includes adding value intelligent supply chains through: mass customisation, efficiency, predictive maintenance to name a few.

The pandemic has allowed a hard reset and a chance for manufacturers to implement advanced artificial intelligence into their supply chain. What are the use cases of AI in manufacturing?

Applying AI to manufacturing can reduce running costs significantly.

Predictive maintenance allows manufacturers to predict when machines need maintenance with a high degree of accuracy. Advanced sensors and analytics embedded into the machinery will allow manufacturers to prevent unplanned downtime by using machine learning. For example, predicting the optimal time to replace replace or resharpen tools in the manufacturing chain.

Supply chain management will be able to benefit from using big data. Manufacturers collect a whole host of data, but often struggle with making sense of it all. With intelligent AI, manufacturers will be able to unlock the insights that were previously unreachable.

Improvements in robotics, from traditional pre-programmed robots to AI-powered robots which can interpret data efficiently and make decisions on their own. This alone will not only save time, but manufacture to a better standard. This is because AI powered robots can interpret data from CAD models and schematics to identify the most efficient and appropriate way to complete the task without any pre-programming.

Mass customisation is a manufacturing technique that enables personalisation of custom-made products at scale. AI provides the possibility of creating customised solutions for development and production through greater efficiency in the form of modular production. AI algorithms can formulate estimations and implement changes by looking at patterns in consumer behaviour, socio economic and macroeconomic factors, location and more. This not only means a more personalised solution for the customer, but optimisations and adaptations made independently by the AI.

The manufacturing sector is the perfect candidate for artificial intelligence. As the technology matures and costs drop, expect to see more manufacturers utilising AI as it becomes more accessible. The future of AI is certain in an industry which is known for embracing new and emerging technologies. Manufacturers are consistently looking to minimise cost, make data-driven decisions, optimise operations and deliver a better product to their consumers.

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