Manufacturing & AI

AI solutions are used to forecast load and demand for factories, ensuring they’re run as efficiently as possible by helping to make better decisions about logistics and planning for materials ordering, timetables to project completion, etc.

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Areas

Supply Chain Optimization

Today’s supply chains are super complex networks to manage, with thousands of parts and hundreds of locations. AI is becoming a necessary tool to get products from production to customer promptly. With machine learning algorithms, manufacturers can define the optimized supply chain solution for all their products.

Production Optimization

Process optimization can be a data-heavy task involving countless historical data sets. Pinpointing which process parameters produce the highest product quality is not an easy task. Manufacturing and Quality engineers run dozens of Designs of Experiments to optimize process parameters all the time, but often they can be costly and time-consuming.

Energy Management

AI can help the often overlooked area of energy management. Most engineers don’t have the time to analyze the cost of factory energy consumption. Having an AI look into the energy consumption of a production operation can significantly reduce operations costs.

AR & VR

With augmented and virtual reality technologies improving every day, with more major companies developing devices for this market, it’s only a matter of time before the manufacturing industry fully adopts their use. Virtual reality can help better train product builders to perform assembly or preventative maintenance tasks.

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Wrapping Up

Overall, when it comes to artificial intelligence and the manufacturing industry, there are a lot of benefits provided. It allows for more product innovation, increased safety precautions, quicker decision making processes, and quality improvement. This is something that manufacturers should consider, so that they can better improve their workplace.