LumenLabs

AI copilot silently reroutes jobs during bottlenecks

A European progressive lens manufacturer using RL-based scheduling to compress cycle times across 3 factories.

MES AI Copilot LDS Inventory IoT

-41%

Cycle time

Machines integrated

Factories connected

+18pp

OEE gain

€1.2M

Annual savings

62 min

Avg recovery on bottleneck

Challenge

Progressive-lens throughput varied by day due to unpredictable coater setups and inconsistent scheduling. OEE stalled below 62%.

Solution

MES + IoT streamed machine telemetry into JDOptix. RL-based scheduler compresses changeovers and reroutes at-risk batches automatically.

Outcome

Cycle time compressed 41%. OEE lifted 18 points. Copilot recovers ≈62 minutes on average per bottleneck event.

Deployed workflow

LumenLabs · end-to-end flow

Sensor stream (MQTT)

RL scheduler

Human-in-loop approval

Machine dispatch

Live OEE

“The AI copilot silently reroutes jobs when a machine is about to bottleneck. It feels like adding a senior floor manager.”

S. Fernandes · Head of Manufacturing, LumenLabs

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