ERP systems are designed to track big-picture metrics: orders, shipments, cost centers. But what they often miss is unplanned production downtime—the 10-minute delays that add up to thousands of dollars per week. That’s where automated downtime triggers come in.
To capture downtime accurately in ERP, you need three layers working together:
Machine-level sensors or SCADA triggers that detect stoppages based on motor state, cycle time, or PLC logic.
Middleware or MES software that collects these signals, timestamps them, and classifies them (e.g., jam, operator break, maintenance).
ERP connectors that push downtime data—summarized by shift, cell, or reason—into your enterprise dashboards and reports.
The value here is speed and visibility. Instead of waiting for paper logs or manual data entry, plant managers see downtime metrics in near real-time. That means better staffing, smarter scheduling, and faster root cause analysis.
Setting up downtime triggers requires defining what counts as “downtime.” For instance, if a glass washer normally cycles every 30 seconds, any gap over 90 seconds might flag as an unplanned stop. These thresholds should reflect actual takt time—not arbitrary values.
You’ll also want to standardize downtime codes. Don’t let operators type freeform reasons into a screen. Use dropdowns with options like:
Maintenance – planned
Maintenance – unplanned
Material shortage
Operator delay
Safety stop
Auto-triggers should escalate events that exceed a time threshold. For example, if a downtime event exceeds 5 minutes and is tagged “maintenance,” the system can automatically generate a work order in the CMMS and alert the line supervisor.
Even if your ERP isn’t designed for plant floor data, middleware bridges like OPC UA servers or cloud-based data brokers can integrate downtime insights. The result is unified dashboards that show true OEE, not just what got shipped.
Downtime may seem minor shift-to-shift—but automated triggers expose patterns, hidden losses, and the real cost of delay.
