A bottling line, piece by piece.
Shift OEE, stops and scrap by cause, energy per machine, recipes and changeover, condition-based maintenance and the end-of-shift forecast. Simulated data; one second is one minute. Try stopping a machine.
With AI predictive analytics estimates batch end, recognises recurring micro-stops and anticipates failures before they stop the line.
Machines
Every machine is a plant model: states, counters, stop causes, ready-made tags, pages and rules. The Andon light in the 3D view shows the same state.
Stops this shift
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Scrap by cause
Scrap is ejected by the pusher after inspection: you can see it land in the orange bin.
Energy per machine
The shrink tunnel stays hot even during short stops: it's the biggest item when the line is down.
Condition-based maintenance
Production order
- Production reports to the ERP
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- Pallets completed
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Orders, batches and production reports go through Studio's REST API.
Shift production · good pieces, now and end-of-shift forecast
Expected plan
Formats, changeovers and cleaning as scheduled; maintenance is what the counters recommend.
Forecast
The plan with the line's average performance: minor stops and scrap at historical rates.
What the Industrial vertical does
States, stops and OEE by machine and by shift, with the Andon page and stop causes.
Process recipes: format, product and batch, with approved versions and guided changeover.
Condition-based maintenance: hours, cycles and thresholds, with the intervention recommended before the failure.
Quality and traceability: scrap by cause, batches and orders linked to the pieces produced.
Energy: energy per machine and kWh per 1,000 pieces, by shift and by batch.
ERP/MES integration: incoming orders and outgoing production reports with Studio's REST API.