Case study · Manufacturing

+9.2pp OEE across four plants, £3.1m annual uplift.

A UK discrete manufacturer was running OEE in the mid-60s across four plants. A real-time IoT and analytics platform — with closed-loop shift optimisation — lifted OEE by 9.2 points in ten months.

+9.2pp
OEE
4
Plants
£3.1m
Annual uplift
10 mo
Rollout
Overview

From dashboards to decisions.

Shift reports landed hours after shift end; micro-stoppages were attributed after the fact, if at all. We wired OPC-UA telemetry into a streaming analytics layer, added edge anomaly detection, and closed the loop into shift-level operating rhythm.

Approach.

01

Pilot plant (weeks 1–6)

One plant, one line, end-to-end loop proven with measurable lift.

02

OT-IT bridge

OPC-UA via safe read-only gateway; change-control respected.

03

Edge anomaly detection

Per-line models detecting micro-stoppages and speed loss in real time.

04

Closed-loop rhythm

Shift-handover dashboards, team-board automation, variance attribution.

05

Plant-by-plant rollout

Months 4–10 — templated, standardised, measurable.

+9.2pp
OEE across 4 plants
£3.1m
Annual margin uplift
−34%
Unplanned downtime
2.1×
MTBF
0
OT stability incidents
100%
Plants on same platform
Technology

Tools & frameworks we use.

Azure IoT Hub
Azure Stream Analytics
Databricks
Edge Impulse
OPC-UA
Power BI
Azure IoT Edge
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