Mondrian AI Launches Taewoong's Manufacturing AX Strategy, Bringing AI to Steelmaking Processes
TECHWORLD ·
✦ AI Summary
Mondrian AI has started consulting on a manufacturing AX strategy for Taewoong based on steel manufacturing site data.
The consulting focuses on identifying AI application tasks for improving steelmaking and forging processes based on production, quality, and equipment data.
Areas under review include integrated quality prediction, delivery and production capacity optimization, predictive maintenance for large equipment, support for estimates and orders, and carbon and energy data management.
Mondrian AI has launched work on establishing an AI transformation (AX) strategy for Taewoong based on data from steel manufacturing sites. Mondrian AI announced the start of its 'Manufacturing AX Strategy Consulting' for Taewoong on the 10th. The consulting effort focuses on using data accumulated in Taewoong's integrated steelmaking and forging production system to improve manufacturing processes.
Mondrian AI was selected as an implementing agency for the '2026 Busan Corporate Innovation Consulting Support Project' organized by the Busan Economic Promotion Agency. The project aims to identify AI application tasks through analysis of production, quality, and equipment data and to establish an implementation plan for actual deployment.
The implementation period is 3 months. Over the next 3 months, Mondrian AI plans to diagnose the production site and the level of data utilization, then select AI application tasks and review the project's outcomes and step-by-step execution measures.
The main areas under review are production, quality, and equipment data generated in the steelmaking and forging processes. Review items include the potential application of AI for integrated quality prediction in steelmaking and forging, AI for delivery and production capacity optimization, and AI for predictive maintenance of large equipment.
The company is broadening its scope of review beyond production processes to include estimates, orders, and responses to environmental regulations. To this end, it is reviewing support measures for estimates and orders based on blueprint and specification analysis, while also examining a management system for product-specific carbon and energy data.
It is also verifying the practical applicability of each task while conducting employee interviews, process inspections, and data quality checks in parallel. In addition, it is carrying out technical feasibility analysis and ROI analysis at the same time.
Based on these analysis results, the company plans to determine priorities for tasks that are likely to deliver strong on-site results. Once priorities are finalized, it will flesh out follow-up PoC execution plans and prepare the scope of application and phased budgets for each task.
At the same time, it plans to continue supporting Taewoong's PoC initiatives and linking them with government support programs. A Mondrian AI official said the company aims to create synergies by combining Taewoong's manufacturing competitiveness with an AI-centered data utilization system, and expressed its intention to build a manufacturing AX model that delivers tangible on-site quality improvements, greater delivery reliability, and meaningful management outcomes.
Source: TECHWORLD · Kim Seung-ki
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406776
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Source: TECHWORLD
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