Using Digital Twin technology, we simulate production lines in a virtual environment to optimize the Line of Balance (LOB). This reduces setup risk for new projects and improves manufacturing efficiency.

Drawings and BOM data are digitized and systematically managed. The latest revision information is distributed to the production site in real time to prevent work errors.

AI analyzes delivery schedules, material status, and equipment utilization rates to generate optimized production schedules automatically. By proactively predicting production bottlenecks, we minimize delays and improve overall manufacturing efficiency.

All shop-floor data, from work instructions to production performance records, is digitized and systematically managed. Operators perform accurate manufacturing processes in a paperless environment without the need for physical documents.

Integrated with MES, Daegun Tech’s in-house developed automatic cutting system receives work instructions and precisely processes cables. It fundamentally prevents human errors and improves cutting accuracy and productivity.

A deep learning-based vision inspection system detects micro-defects such as misalignment, missing components, and cracks in real time defects that are difficult to identify through visual inspection alone.

All equipment status and operator process progress on the shop floor are collected and visualized in real time through a dashboard. It enables immediate identification of bottlenecks and rapid response to production issues.

Key performance indicators (KPIs) such as production, quality, and inventory status are visualized in real time, enabling management to make faster and more accurate decisions.