MDC equipment status overview
View CNC start, run, debug, alarm, and stop status by factory, workshop, and workstation to grasp the actual shop-floor capacity.
Digital subpage · C3
Use Cases
Focused on equipment, production, exceptions, and operations management in the machining workshop, showing how the digital system works in every on-site action.
Production Reporting and work hour accounting
Link work orders, workpieces, equipment, personnel, and shifts, record completed quantity, actual working hours, processing cycle, and downtime due to exceptions.
OEE and equipment efficiency analysis
Combine utilization rate, performance efficiency, quality rate, downtime reasons, and output to identify overall equipment efficiency loss and support improvement review.
DNC program process control
Programs go through creation, review, distribution, invocation, and archiving; equipment uses the correct version, reducing manual transfer and misuse risks.
Andon exception collaboration
Report material shortages, faults, quality and process exceptions on-site, APP notifies responsible roles, tracks response, handling, and closure.
Maintenance and tool management
Trigger maintenance tasks based on runtime, record tool usage, lifespan, inventory, and recovery, reducing unexpected downtime and tool waste.
Mobile Workshop Management
Team leaders and managers can check equipment status, production progress, alarms, maintenance, and to-dos through the APP, quickly responding to issues on site.
Data Review and Continuous Improvement
Compare cycle times, work hours, quality, and downtime data by equipment, workstation, shift, product, and time period to form replicable improvement methods.
On-site Staff
Complete Production Reporting, abnormality reporting, and task receiving with fewer manual inputs, leaving more time for production and problem-solving.
Team Management
Unified view of equipment, work orders, progress, downtime, and to-dos, enabling timely scheduling of personnel, equipment, and maintenance resources.
Business Decisions
Use OEE, work hours, production, quality, and abnormality data to identify bottlenecks, supporting scheduling, investment, and replication decisions.