Smart manufacturing & OEE
OEE lives on a whiteboard, updated at end of shift from memory. Downtime reasons are guessed, micro-stops vanish, and the machine data that would settle it is trapped in PLCs that were never networked.
We specify the field hardware and the software around the same asset model, with one engineering team responsible for the result.
Edge gateway with PLC protocol drivers
Reads the machines without touching their code
Machine energy meter
Ties output to energy per unit
Vibration & andon inputs
Condition and stoppage signals
What the platform does with all that hardware data.
Live OEE
Availability, performance, and quality are computed from machine signals throughout the shift rather than reconstructed at the end.
Downtime reason capture
Each stoppage is timestamped and categorised so the downtime Pareto reflects recorded events rather than shift-end memory.
Energy-per-unit analytics
Linking consumption to production gives a measured energy cost per part for efficiency work.
Shift & production reports
Shift, line, and plant reports are generated from recorded machine events and production counts.
Hardware and software, one proposal.
Bring the asset, interfaces, and operating constraint. We will map the likely bill of materials and the first platform workflow.