OEE Manager

Real-time equipment effectiveness tracking

Monitor Overall Equipment Effectiveness in real-time. Track availability, performance, and quality metrics across your entire production line.

Why OEE Manager?

Most manufacturers have a feel for their productivity losses, but few have the systems to capture the breakdown in real time, categorise it and attack those losses through structured improvement activity. OEE Manager gives your teams exactly that — live visibility of Availability, Performance and Quality losses, with the context and tools to act on them systematically.

What OEE Manager Delivers

Real-Time OEE Tracking

Monitor availability, performance, and quality metrics as they happen across every machine and line.

Loss Categorisation

Automatically categorise downtime and speed losses. Pareto analysis identifies your biggest improvement opportunities.

Trend Analysis

Historical OEE trends by shift, line, product, and operator. Spot patterns before they become problems.

Automated Data Collection

Connect directly to PLCs and sensors via SmartConnect. Eliminate manual data entry errors.

Shift Handover

Digital shift handover reports with OEE summaries, open actions, and key events from the previous shift.

Target Management

Set OEE targets by line, product, and shift. Visual indicators show performance against target in real time.

OEE Manager Demo

Experience OEE Manager with a live interactive walkthrough. See how it works in a real manufacturing environment.

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OEE ManagerLive Demo

OEE Dashboard — Real-Time Performance

Availability × Performance × Quality = OEE

6%OEE
Overall Equipment Effectiveness
Availability8%
Target: 90%
Performance7%
Target: 85%
Quality9%
Target: 98%
Weekly OEE Trend
62%
Mon
65%
Tue
58%
Wed
71%
Thu
68%
Fri
73%
Sat
72%
Sun
Live Machine Status
Line 1 — Foam Press78%
Line 2 — Quilter71%
Line 3 — Edge Banderidle
Line 4 — Packing82%
Line 5 — CNC Routerchangeover
Line 6 — Assembly65%

Loss Tree Analysis — Six Big Losses

Identifying where production time is lost

Loss Pareto (minutes)
Planned Downtime
120m
Breakdowns
45m
Changeovers
35m
Minor Stops
28m
Speed Loss
52m
Startup Rejects
8m
Production Rejects
4m
292total min lost
Availability200m
Performance80m
Quality12m

OEE Trend Analysis — 12-Month View

Tracking continuous improvement over time

80%70%60%50%
Target 75%
JanFebMarAprMayJunJulAugSepOctNovDec
Current OEE58%
Best Month72%
Improvement+14pts
Target Gap17pts

Live Data Integration — Machine Connectivity

Real-time data flowing from SCADA, IoT sensors, and edge gateways

LIVE DATA STREAM
TimeSourceMetricValueStatus
14:32:01SCADA PLCCycle Time12.4s
ok
14:32:02IoT SensorTemperature72.1°C
ok
14:32:03Current SensorPower Draw4.2kW
ok
14:32:04VibrationRMS Velocity2.8mm/s
warning
14:32:05SCADA PLCPart Count+1
ok
14:32:06Edge GatewayBatch Upload24 records
ok
14:32:07IoT SensorHumidity45%
ok
14:32:08SCADA PLCMachine StateRUNNING
ok
Connected Sources
SCADA / PLC1Hz sample rate
Edge Gateway5Hz sample rate
Current Sensors10Hz sample rate
Vibration Sensors100Hz sample rate
Temp Probes0.5Hz sample rate
API ENDPOINTPOST /api/integration/ingestREST • MQTT • OPC-UA
OEE Dashboard
20s remaining

Getting Started with OEE Manager

1

Connect Your Machines

Link PLCs, sensors, and manual inputs via SmartConnect. Data flows automatically with no operator intervention.

2

Track in Real Time

Live OEE dashboards show availability, performance, and quality for every machine and line as it happens.

3

Classify Losses

Downtime and speed losses are automatically categorised. Pareto analysis reveals your biggest opportunities.

4

Drive Improvement

Use trend analysis, shift comparisons, and root cause tools to systematically eliminate losses.

What You Can Expect

All metrics are clearly labelled by evidence tier. We only publish claims we can substantiate.

5-15%Research-Backed

OEE improvement within first 12 months (industry average)

OEE Foundation, Smart Industry benchmarks

Eliminated

Manual data collection errors and delays

Immediate

Visibility into loss reasons as they occur

Significant

Reduction in unplanned downtime through pattern detection

Built-In AI

Intelligence at Every Layer

AI is not an add-on. It is woven into the core of every service, working behind the scenes to surface insights and automate decisions.

AI Loss Classification

Automatically classifies downtime events and speed losses using machine learning, eliminating manual categorisation errors.

Predictive Maintenance Alerts

AI analyses OEE patterns to predict equipment failures before they occur, reducing unplanned downtime.

Smart Root Cause Analysis

AI correlates OEE drops with process variables, operator shifts, and material batches to surface root causes.

Hardware

IoT Smart Device Showcase

Purpose-built industrial hardware designed for harsh manufacturing environments. Plug-and-play deployment with zero disruption to your production schedule.

Edge Gateway

Industrial-grade edge computing gateway. Collects, processes, and transmits machine data in real-time.

ARM Cortex-A724GB RAMIP67 RatedDIN-Rail Mount

Vibration Sensor

Tri-axis vibration and temperature sensor for predictive maintenance on rotating equipment.

0–20kHz Range±16g AccelerationWireless BLEBattery: 5 Years

Current Transformer

Non-invasive current sensor for monitoring machine power consumption and detecting anomalies.

Split-Core Design0–200A Range±1% AccuracyRetrofit Install

Temperature Probe

Industrial thermocouple probe for process temperature monitoring with wireless transmission.

-200°C to +1350°CType K/J/TIP68 RatedWireless Gateway

Connectivity Module

Protocol translation module supporting OPC-UA, Modbus, MQTT, and legacy serial connections.

Multi-ProtocolOPC-UA ServerModbus RTU/TCPMQTT Broker

Security Gateway

Network security appliance providing encrypted tunnels between shop floor devices and the cloud.

AES-256 EncryptionVPN TunnelFirewall RulesAudit Logging

Ready to see it in action?

Get in touch with our team. Tell us about your operation and we will show you how OEE Manager can help.

Personalised demo with your data
No commitment required
Response within 24 hours