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Since the launch of ChatGPT in November 2022, artificialintelligence (AI) has taken the world by storm. The Current State of AI in Complex DiscreteManufacturing AI clearly has staying power and will continue to gain momentum as new use cases and applications are discovered. appeared first on iBase-t.
Cybersecurity, analytics, integrating manufacturingexecutionsystems (MES) and enterprise resource planning (ERP) systems and robotics to combat the labor shortage are among the key trends shaping the industry’s future.
Manufacturing AI insights The integration of AI into discretemanufacturing aligns with the concept of Industry 4.0, The future of AI in manufacturing will be able to help with machine learning algorithms to reduce downtime, improve efficiency and extend equipment lifecycles. Artificialintelligence (AI) is everywhere.
In my last blog , I introduced the topic of artificialintelligence (AI) in the complex discretemanufacturing space, noting that companies need to take certain steps to prepare for AI adoption. Inefficient workflow processes are to blame for many manufacturing delays.
Siemens artificialintelligence software, Siemens 1500 PLC (programmable logic controller) and the FlexGrasp Multifunction Platform (MFP) enable configuration rather than programming for logistics applications. The ProMat booth provided examples. Courtesy: Mark T.
As remote automation increasingly involves multiple data producers and many distributed consumers, the need for intelligence at the edge becomes essential. Edge computing brings decision-making and intelligence as close to the process as possible. Integrate new technologies, MES software. Inside Machines.
The software is specialized for make-to-order manufacturing, discretemanufacturing and process manufacturing. Epicor Advanced MES collects data directly from equipment and operators on the shop floor in real time, maximizing data accuracy and process automation. It is the next step, right?” Robling noted.
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