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Hyundai Steel Boosts Productivity with AI, Holds AX Achievement Sharing Event

Hyundai Steel Boosts Productivity with AI, Holds AX Achievement Sharing Event

Participants at the 'AX Achievement Sharing Event' listen to presentations on outstanding cases /Photo=Hyundai Steel
Participants at the 'AX Achievement Sharing Event' listen to presentations on outstanding cases /Photo=Hyundai Steel

Hyundai Steel announced on the 11th that it held the '2026 AX (AI Transformation) Achievement Sharing Event,' where it shared results of manufacturing process improvements and business efficiency enhancements utilizing artificial intelligence (AI).

Recently, at the research institute of Hyundai Steel's Dangjin Steel Plant in Chungnam Province, employees shared their AX (AI transformation) cases pursued this year and selected outstanding projects. A total of 198 cases were submitted to the achievement solicitation process conducted since last August, including 58 in the manufacturing sector and 140 in the business sector. Hyundai Steel selected 48 of these for exhibition and presented and demonstrated 15 outstanding cases on-site. Through evaluations by judges and employees, five top-tier projects were also selected.

In the manufacturing sector, 'Development of a Raw Material Logistics Optimization Guide Tool' and 'Development of a Scrap Raw Material Blending Optimization Guidance System' were chosen as the top-tier projects. They were recognized for using AI to enhance the efficiency of raw material transportation and blending processes, thereby increasing productivity.

In the business sector, three projects were selected: 'Building an AI-Based Product Sales Strategy and Decision-Making Support System,' 'Automation of Material Supply and Coil Transfer Operations Based on AI Agents,' and 'Establishing an AI Analysis Framework for Appropriate Purchase Pricing.' These focused on supporting decision-making through data analysis and reducing repetitive tasks.

In the steel industry, the importance of process optimization and production efficiency improvement using AI is growing to respond to raw material price fluctuations and energy cost burdens. In particular, since raw material blending and logistics operations directly affect manufacturing costs, data-based management is cited as a means to strengthen competitiveness.

Starting this year, Hyundai Steel is also operating a platform where all employees can register AI utilization cases and participate in evaluations. Through this, the company plans to disseminate outstanding cases discovered on-site to other business sites and work areas.

Lee Bo-ryong, President of Hyundai Steel, stated, "The AX Achievement Sharing Event is not merely an occasion to award individual projects, but a turning point for AI to spread throughout the entire organization." He added, "We must create tangible results by sharing successful experiences in utilizing AX and collaborating to enhance productivity and manufacturing competitiveness."

"This article was translated using AI and may differ slightly from the original."