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Hyundai Steel aims to reduce production costs with AI

Hyundai Steel took important steps at the 3rd Artificial Intelligence (AI) and Big Data Festival held at the Hyundai Steel Training Center in Dangjin, South Korea.

Hyundai Steel aims to reduce production costs with AI

At this event, Hyundai Steel identified a total of 36 smart factory-related projects and awarded 15 of them as outstanding projects. These tasks aim to reduce production costs and improve production quality by integrating artificial intelligence and big data applications into the production process.

One of the projects highlighted at the festival was 'Development of a nitrogen behavior prediction model based on steel production converter simulation'. This technology uses big data analysis to control nitrogen content and optimize the molten iron production process. The other notable project was stated as 'Optimization of the combination of heavy plate blade design and casting width'. This project aims to reduce the production costs of thick steel plates used in areas such as shipbuilding, oil pipelines and bridges.

"We will continue to develop the smart factory tasks explored at this festival and make real process improvements," Hyundai Steel CEO Seo Kang-hyeon said at the event. He also said, "We will accelerate our digital transformation process by increasing the capacity building and motivation activities of employees."

These innovative approaches of Hyundai Steel based on artificial intelligence and big data are considered as an important step to increase the company's production efficiency and maintain its competitiveness.

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