Shopfloor Copilot's KPI engine computes 30+ manufacturing KPIs in real time from OPC UA signal streams using an AST-based formula parser. No spreadsheets, no manual calculation, no reporting delay — KPI values update as machines produce data.
Shopfloor Copilot tracks KPIs across six performance categories, covering every dimension of manufacturing plant performance:
All KPIs in Shopfloor Copilot are computed by the AST-based formula parser — an expression engine that evaluates custom formulas written in plain arithmetic syntax against live OPC UA signal values. This means:
good_count / total_count * 100sum(reject_count, last_8h)30+ KPIs across 6 categories: OEE components (Availability, Performance, Quality, Total OEE, TEEP), Reliability (MTBF, MTTR, failure rate, uptime), Productivity (throughput, cycle time, takt time adherence), Quality (FPY, scrap rate, rework rate), Maintenance (planned/corrective ratio, equipment health score), and Energy (energy per unit). All computed in real time from OPC UA signal data.
A manufacturing KPI dashboard aggregates and presents production performance metrics in real time. A complete dashboard covers Productivity (OEE, throughput), Quality (first-pass yield, scrap), Reliability (MTBF, MTTR), and Cost (energy per unit, maintenance ratio).
Explore the prototype's the KPI dashboard with all categories populated from a simulated OPC UA factory — including formula editor, trend charts, and station-level drill-downs.
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