Artificial Intelligence in Manufacturing: Real World Success Stories and Lessons Learned
Software powered by artificial intelligence can help businesses optimise procedures to maintain high production rates indefinitely. To locate and eliminate inefficiencies, manufacturers may use AI-powered process mining technologies. After detecting an issue and classifying it, they use automated protocols to prevent the problem from escalating and trigger alerts.
Manufacturers can increase production throughput by 20% and improve quality by as much as 35% with AI. The fusion of AI intelligence and manufacturing has brought about a transformative shift in industrial processes, leading to increased innovation across the manufacturing sector. Finnish elevator and escalator manufacturer KONE is using its ‘24/7 monitor how its products are used and to provide this information to its clients. This allows them not only to predict defects, but to show clients how their products are being used in practice.
Robotics: The Keystone of Modern Manufacturing
Manufacturers can use AI to forecast demand, dynamically shift stock levels between multiple locations, and manage inventory movement through a bafflingly complex global supply chain. Simulation–advanced computer modeling–is revolutionizing every method and procedure in the manufacturing industry. It’s enabling manufacturers to carry out tests and run experiments in virtual worlds instead of the real one, where they’re expensive, time-consuming, and potentially unsafe. Sridevi Edupuganti is an innovative leader known for strategically enhancing business opportunities through technology planning, orchestrating roadmaps, and guiding technology architecture choices. With a rich career spanning over two decades as a Senior Business and Technology Executive, she has driven teams to empower customers for digital transformation.
However, it’s important to note that this is not related to hardware machinery and is instead related to software. When artificial intelligence is paired with industrial robotics, machines can automate tasks such as material handling, assembly, and even inspection. As more industries adopt AI and incorporate robots, it might be time to rethink what the future looks like. With AI, factories and companies will be able to produce more products in less time with fewer errors. The benefits of implementing AI into manufacturing businesses include increased productivity, decreased error rates, improved decision-making abilities and more accurate predictions about trends.
Development of New Products
Deep learning is essential because without it, training object detection algorithms to process huge swathes of data is impossible. And without these huge swathes of data, the computer vision system isn’t able to correctly differentiate objects, as well as contextualise them. Computer vision also assists operators with Standard Operating Procedures when the operators have to switch products numerous times in one day.
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