Smart manufacturing
Connect machines, enforce routing and give supervisors a live view of output, scrap and downtime across every line.
Why this is hard today
Discrete plants often run a mix of controllers from different decades. Production data lives in spreadsheets and shift reports, so losses are discovered a day late and root causes are reconstructed from memory.
Our approach
- 01
Map the asset base
We inventory controllers, meters and networks, then define the tag dictionary and asset hierarchy that every later system will share.
- 02
Connect and standardise
EdgeGate gateways normalise protocols at the machine. FlowOS enforces routing, captures genealogy and calculates OEE at the source.
- 03
Run the improvement loop
Supervisors review downtime reasons each shift. Models and dashboards are tuned with the plant team, then replicated to the next line.
Measured outcomes
- OEE improvement in the first year
- 11%
- Faster root-cause analysis
- 42%
- Pilot line to production
- 6 wks
Typical results from comparable deployments; actual outcomes depend on line conditions and scope.
Systems used in this solution
All products
Scope a pilot for this solution
Share the line, systems and target metric. We will reply with a pilot plan.