RE: LeoThread 2024-10-26 23:37

[taskmaster4450le]

How AI is transforming the factory floor

AI is transforming factories, optimizing production, cutting costs and boosting sustainability – the Global Lighthouse Network provides examples.

• Artificial intelligence (AI) is revolutionizing factory operations, optimizing production lines and cutting costs.
• The World Economic Forum’s Global Lighthouse Network highlights AI's role in driving digital transformation in manufacturing.
• Six leaders explain how their Lighthouse sites are using AI to drive industry forward.

#ai #factory #manufacturing #technology

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[taskmaster4450le]

The World Economic Forum's Global Lighthouse Network has welcomed 22 new members, highlighting the transformative impact of digital transformation and cutting-edge technologies like machine learning and digital twins on driving next-generation operational excellence. These advanced sites are not only boosting productivity but also setting new standards for sustainability, workforce development, and human-machine collaboration, while unlocking new levels of innovation.

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In this article, six leaders from the Lighthouse network share insights on how their sites are leveraging AI to drive industry forward. From predictive maintenance to quality control, AI-powered systems are optimizing production lines, driving cost savings, and reducing emissions.

[taskmaster4450le]

Beko: Optimizing Manufacturing Processes and Design

Beko, a leading home appliances manufacturer, has integrated AI-driven innovations to optimize its manufacturing processes and design. Key AI applications include:

• A smart machine learning-powered control system that adjusts parameters in real-time, reducing scrap and preventing defects in sheet metal forming, resulting in a 12.5% material cost savings.
• A decision tree-based model that prevents clinching failures from variations in sheet thickness, cutting defect rates by 66%.

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• A closed-loop valve gate control using convolutional neural network algorithms that optimizes plastic injection, analyzing over 150,000 data points and improving cycle time by 18%.

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AstraZeneca: Revolutionizing Medicine Development and Manufacturing

AstraZeneca is using AI to revolutionize how it develops, makes, and supplies medicines. In drug development, predictive modeling helps optimize the physical and chemical properties of active pharmaceutical ingredients and predict the performance of formulated products during manufacturing, resulting in:

• A 50% reduction in development lead times.
• A 75% reduction in the use of active pharmaceutical ingredients in experiments.

In manufacturing, AI-powered process digital twins optimize the conditions for yield and productivity while reducing the use of raw materials and minimizing tech transfer requirements.

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Jubilant Ingrevia: Boosting Efficiency and Sustainability

Jubilant Ingrevia, a leading chemical manufacturer, has embraced AI and machine learning across aLL production stages to boost efficiency, reduce process variations, and optimize yield and throughput. Key AI applications include:

• Digital twins – virtual replicas of critical assets – to model, forecast, and manage operations in real-time.
• Insights from its Digital Performance Management model, which has reduced process variability by 63%.
• Internet of things-based monitoring systems with predictive analytics, which have reduced downtime by more than 50%.

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Siemens: Transforming Manufacturing with AI

Siemens, a leading industrial technology company, is experiencing the transformative impact of AI on manufacturing daily. With rising labor costs, skill shortages, and a need for eco-friendly solutions, AI is a crucial part of Siemens' vision for the industrial metaverse. AI applications deliver remarkable results across Siemens' entire value stream, including:

• Machine learning-optimized testing procedures.
• AI-enabled robots that pick and place different parts and materials.
• Automated training and deployment pipelines.

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Mengniu Dairy: Optimizing Supply Chain Processes

Mengniu Dairy, a leading dairy company, has integrated AI across the supply and consumer sides to optimize supply chain processes and boost efficiency. Key AI applications include:

• AI modules that replace manual testing.
• Automated supplier order scheduling and vehicle dispatching.
• Analysis of equipment data to forecast faults and prevent downtime.

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Midea Group: Achieving Green and Sustainable New Capabilities

Midea Group, a leading home appliances manufacturer, is exploring and restructuring end-to-end green and sustainable new capabilities through the deployment of digital technologies integrated with AI applications. Key AI applications include:

• A 25% reduction in development cycles.
• A 53% reduction in poor quality.
• A 29% optimization of logistics paths.

[taskmaster4450le]

The deep application of AI in the entire factory process covers 457 sub-scenarios, mainly through self-developed small sample intelligent algorithms and open AI cloud platforms, significantly reducing sample collection and training time, and lowering scale promotion and operation costs.

In conclusion, the adoption of AI on the factory floor is accelerating the shift toward smarter, more efficient operations. By leveraging AI-powered systems, companies can optimize production lines, drive cost savings, and reduce emissions. As the Lighthouse Network continues to showcase the transformative power of AI, it is clear that the future of manufacturing is bright and AI-powered.

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