5 main ARIA MES/SCADA screens with technical captions. They are real screenshots captured on a live plant — what you see here is exactly what the shift lead sees.
The screen the shift lead opens first: plant layout with every station, real-time status for each (Running · Alarm · Blocked · Maintenance · Starved · Stowed), current OEE, batch ID, and active recipe. The same view is mirrored on the mobile app for those not at a shop-floor terminal.
Cumulative analytics dashboard for the line. Active stations, total parts, OK/KO, line quality, and best station up top; below, quality benchmark, production-volume comparison, and per-station cycle-time performance over any time window. It's the first view a shift lead opens to understand what happened over a shift or a week.
The view the shift lead keeps open alongside Line Status: production-plan progress, total parts with working/pending, active and stopped batches up top; below, the products table with code, batch, product type, status, creation timestamp, last update, and OK/KO outcome. Batches · Products · Traceability tabs to drill down in one click.
Weekly shift planning with a Mon-Sun × 24h heatmap. Average daily coverage and weekly hours summarized in two KPIs; an overlap-detector banner automatically flags shift overlaps (here, 3 conflicts between Production shift and shift3 on Mon, Tue, Sun). Multi-shift, drag to extend the window, no extra rows of Excel for whoever runs the plan.
The line's andon control center, organized by category — Maintenance, Quality, Logistics, Safety — with a live counter at the top. Every event shows station, type, status (Acknowledged / In progress / Resolved), cause, who opened it, timestamp, response time, and open duration. Live tab for the present, History for the archive. Resolve or Cancel straight from the event.
What buyers, IT, and production teams ask: integration, security, deployment.
Open FAQConcrete scenarios with a real persona — from morning shift to model changeover.
Open use casesA guided demo shows the same screens on real-plant data.