HOW IT WORKS
It integrates data collected from machines, operators, and processes to create a virtual model of your factory that can be monitored and analyzed in real time.
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It integrates data collected from machines, operators, and processes to create a virtual model of your factory that can be monitored and analyzed in real time.
Learn More
Monitoring of machines, production lines, operator stations, and production flow in real time on a 3D factory model.
DMT is compatible with various production processes such as casting, filling, assembly, heat treatment, and packaging.
Provides interfaces compatible with mobile devices for managers who want to monitor production remotely.
Enables monitoring of intermediate inventories during material handling and operational transitions.
Work orders from the ERP system can be visualized in the digital twin; production data can be automatically transmitted back to the ERP.
Ensures seamless integration with PLC, SCADA, MES, ERP, and IoT devices.
Production events, stoppages, and operator interactions are recorded and can be replayed step-by-step later.
Usage instructions, maintenance documents, or visuals related to equipment can be linked and accessed directly through the digital twin.
Tracking of indicators such as OEE, scrap rate, downtime reasons, cycle time, and shift production for machines and operators.
Real-time tracking of metrics including working time, idle time, downtime identification, and individual performance.
Enables rapid fault detection by automatically linking failures at higher-level stations to downtimes at lower-level stations.
Production scenarios can be simulated using key parameters such as cycle time and load balancing to analyze bottlenecks and losses in advance.
trex DMT not only analyzes production data with AI algorithms to detect real-time faults and losses but also generates improvement scenarios based on historical data for issues such as OEE declines, prolonged downtimes, setup delays, and inefficiencies. The system provides data-driven decision support in areas including SMED implementations, planned maintenance enhancements, operator training needs, bottleneck optimizations, and equipment upgrade recommendations. It continuously monitors KPI thresholds, automatically issues alerts when deviations from set targets are detected, and offers Kaizen-focused action plans.
trex DMT analyzes cycle times within production processes to identify improvement opportunities at both machine and operator levels. Using AI algorithms, it predicts ideal cycle times, automatically detects deviations, and provides recommendations aimed at increasing efficiency. This results in improved capacity utilization and reduced bottlenecks.
Dashboards that can be tailored by line, area, or user role.
Facilities located in different geographical areas can be monitored, compared, and managed from a single platform.
Relevant teams are notified via email, mobile alerts, or on-screen warnings when critical thresholds are exceeded.
The system can be modularly expanded and configured to suit different production structures as needed.
Screen permissions can be assigned based on user profiles, and all user actions are tracked.
trex DMT can be easily adapted to production processes such as filling, assembly, casting, pressing, injection molding, extrusion, baking, and packaging.