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Ai Process Optimization

The document discusses the role of Artificial Intelligence (AI) in optimizing industrial processes, highlighting the importance of edge computing and sensors in data utilization. Key use cases include anomaly detection, reinforcement learning for chemical reactors, and computer vision for inspection, which can significantly reduce waste. Early adopters have seen substantial ROI through energy savings and throughput gains by integrating AI with existing systems, with a recommended implementation roadmap starting with pilot projects and iterative development.

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17 views3 pages

Ai Process Optimization

The document discusses the role of Artificial Intelligence (AI) in optimizing industrial processes, highlighting the importance of edge computing and sensors in data utilization. Key use cases include anomaly detection, reinforcement learning for chemical reactors, and computer vision for inspection, which can significantly reduce waste. Early adopters have seen substantial ROI through energy savings and throughput gains by integrating AI with existing systems, with a recommended implementation roadmap starting with pilot projects and iterative development.

Uploaded by

nalejandrorinconp
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Artificial Intelligence for Industrial Process

Optimisation

Why AI, Why Now?


Edge computing and cheap sensors have unleashed torrents of data that traditional control systems
cannot fully

exploit. AI models convert this data into actionable set■point adjustments and predictive maintenance

schedules.

Key Use Cases


■ Anomaly detection in continuous casting lines ■ Reinforcement■learning controllers for chemical
reactors ■

Computer■vision inspection that reduces scrap by up to 40 %

ROI Considerations
Early adopters report 10–20 % energy savings and double■digit throughput gains. Scalable wins come
from

integrating AI with MES and ERP platforms to close the loop between insights and execution.

Implementation Roadmap
Start with a high■impact pilot, secure data governance, form a cross■functional squad and iterate on
minimum

viable models before scaling plant■wide.


References and Further Reading
For detailed statistics and additional context, refer to the International Energy Agency, McKinsey
Insights, and leading peer■reviewed journals.

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