Solution
Optimize throughput with no-code Industrial AI.
Most lines run below their actual capacity because setpoints stay conservative. Intelecy finds the bottleneck of the moment and tells operators how far they can safely push.
The problem
What makes this operationally expensive today.
Hidden bottlenecks
The constraint shifts between units and shifts; static dashboards miss it.
Conservative setpoints
Operators leave headroom on every loop because nobody owns the trade-off.
Lost capacity
Small slowdowns add up to whole shifts of missed production each month.
Signals we monitor
The process indicators behind every recommendation.
Intelecy reads these signals from your Historian, DCS, and SCADA — no new sensors required to get started.
How Intelecy solves it
From signal to action, mapped to the modules.
STEP 01
Identify the live bottleneck
Cross-tag analysis surfaces the unit that is actually capping the line right now.
STEP 02
Forecast capacity ahead
Project throughput under current setpoints so supervisors plan the shift, not react to it.
STEP 03
Recommend the next move
Setpoint guidance with expected tonnes/hour and the quality envelope to respect.
STEP 04
Promote winning loops
When a recommendation is consistently safe and right, promote it to governed closed-loop.
Expected KPIs
How customers measure success.
Throughput
▲t/h
Per line / per unit
Cycle time
▼min
Per batch
OEE
▲%
Across the constraint
Capacity utilization
▲%
vs nameplate
Proof
Metals producer, Northern Europe
Metals & mining
“Operators get a number and a why. They know exactly how much further they can push the rolling mill this shift.”
Headline result
+4.8%
throughput on the constraint line
Implementation
What it takes to stand this up.
Data needed
Throughput counters and constraint-unit tags. Quality and energy tags to bound the recommendations.
Timeline
Bottleneck mapping in week 1; first prescriptive model in 2–3 weeks.
Stakeholders
Operations director, process engineer, shift supervisors, planning.
Integration
Historian + MES counters via the Gateway. Recommendations in the workspace or surfaced in the HMI.
See it on your own plant data.
A 30-minute working session with our process AI team. Bring a unit, a goal, and a few tags — leave with a working model proposal.