Manufacturing Today Issue - 222 March 2024 | Page 21

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Production e uring

of manufacturing is more likely to involve harmonious collaboration between humans and machines . Traditional manufacturing systems are often limited by manual inputs and require extensive intervention . This is reliant upon multiple tools throughout different phases of product development , necessitating multiple handoffs from one team to another . Cloud-based AI , however , introduces a level of automation that can transform the way organizations design and make by removing barriers caused by disconnected tools that inhibit the flow of information across teams . Leveraging automation in this way will help improve the way organizations work together – streamlining workflows across every phase of the entire product development and manufacturing lifecycle , so that changes made in one workflow are instantly reflected everywhere . This helps enhance productivity across a team , and also ensures version control across multiple different workflows .
Collaborative innovation : boosting productivity & creativity
Machines powered by AI can also analyze vast amounts of data in real-time and enhance the work of industrial designers – enabling technology to make split-second decisions and create 3D concepts within milliseconds . This precision is particularly crucial in the manufacturing industry , where accuracy and quality control are paramount . Nowadays ,
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