Do we need IoT sensors, or can it use existing PLC/MES data?

Both. Where machines expose data via PLCs, OPC UA, or an MES, we use it; where they don't, we add IoT sensors or edge devices. We assess your equipment mix during discovery and use the lowest-friction path per machine.

Can operators still add downtime reasons manually?

Yes. Downtime is auto-detected, and operators tag reasons from a configurable list on a floor terminal or tablet — combining automatic accuracy with the context only the operator has.

Does it support multiple plants with different equipment?

Yes. We standardize OEE definitions so sites are comparable while still handling different machines, then provide site-by-site and rolled-up dashboards for fair benchmarking.

How does OEE data support predictive maintenance?

Downtime, MTBF, and MTTR data reveal which assets fail most and why, feeding maintenance prioritization and, where the data supports it, predictive maintenance models.

Is this a packaged product or a custom build?

We build it around your equipment, connectivity, and KPIs rather than forcing a rigid template. You get a fixed-scope estimate for a focused first line or cell before scaling plant-wide.

OEE Software

OEE Software for Real-Time Equipment Effectiveness

Measure and improve Overall Equipment Effectiveness in real time — availability, performance, and quality — with automated downtime tracking, root-cause analysis, and KPI dashboards fed by your IoT sensors, MES, and ERP.

15-Minute Scoping Call Talk to an Expert

Real-Time OEEIIoT-ConnectedMES IntegrationDowntime Analytics

Trusted by global innovators

What OEE software actually does

OEE software turns raw machine signals into the single number manufacturers use to judge how effectively equipment runs: Overall Equipment Effectiveness, the product of availability, performance, and quality. Instead of operators estimating downtime on a clipboard, the system captures machine states directly from sensors, PLCs, and your MES, and computes OEE continuously across machines, lines, and plants.

The point is not the score — it is what the score reveals. Automated downtime tracking with reason codes, real-time performance analytics, and quality-rate measurement expose exactly where availability, speed, or scrap is bleeding capacity, so improvement effort goes where it moves the number.

What it is

Availability × Performance × Quality, measured continuously

An OEE platform monitors equipment in real time, classifies downtime by reason, tracks cycle-time performance against ideal, and measures quality yield — then rolls it into OEE and its component losses.

Built on real machine data rather than manual logs, it gives operators, supervisors, and plant leaders a shared, trusted view of where production capacity is being lost and why.

What we build into your OEE platform

Each capability turns machine data into a decision — where to add capacity, cut downtime, or stop scrap.

15-Minute Scoping Call

Overall Equipment Effectiveness Monitoring

Continuous OEE calculation across machines, lines, and sites, with drill-down into availability, performance, and quality losses in real time.

Machine Availability Tracking

Automatic capture of run, idle, and stopped states from sensors and PLCs, with planned vs. unplanned downtime separated cleanly.

Production Performance Analytics

Actual cycle time measured against ideal to expose speed loss, micro-stops, and reduced-rate running that erode throughput.

Quality Rate Measurement

Track good vs. reject counts and first-pass yield so the quality component of OEE reflects real scrap and rework, not estimates.

Downtime Tracking & Analysis

Operator-tagged and auto-detected downtime with reason codes, plus Pareto and root-cause views that rank the losses worth fixing first.

Manufacturing KPI Dashboards

Live plant-floor and management dashboards for OEE, availability, MTBF/MTTR, and throughput — by machine, line, shift, and site.

Real-Time Machine Data Monitoring

Andon-style real-time visibility so supervisors see a stoppage as it happens and can respond before it becomes lost capacity.

IoT, MES & ERP Integration

Ingest data from IoT sensors and PLCs and connect to MES and ERP, so OEE ties to work orders, products, and planning.

Where it runs

Who uses OEE software

Operations that need to know — not guess — where equipment capacity is going.

Discrete manufacturers

Line and cell OEE with changeover and micro-stop visibility.

Process & CPG plants

High-speed line performance and quality-loss tracking at scale.

Maintenance & reliability teams

Downtime and MTBF/MTTR data to prioritize preventive and predictive maintenance.

Plant & operations leaders

A trusted, real-time capacity signal across lines and sites.

Continuous-improvement teams

Loss Pareto and root-cause data to target Kaizen where it pays.

Multi-site groups

Standardized OEE definitions to benchmark plants fairly.

Why it matters

Recover hidden capacity without new machines

Replace clipboard downtime estimates with trusted, automatic machine data
Cut unplanned downtime by attacking the top loss reasons first
Recover throughput by exposing speed loss and micro-stops
Reduce scrap with real first-pass-yield visibility
Prioritize maintenance with reliability metrics (MTBF/MTTR)
Benchmark lines and plants on one consistent OEE definition

Capacity you already own, made visible

Most plants run at an OEE far below their potential — usually due to losses no one is measuring. OEE software makes those losses impossible to ignore.

Real-time

OEE across machines, lines, and plants

Auto

Downtime capture from sensors and PLCs

Pareto

Losses ranked so improvement targets the biggest wins

Standards & connectivity

Interoperable with your plant-floor stack

OEE· Availability × Performance × Quality methodologyIIoT· Industrial IoT sensor and PLC data captureOPC UA· Standards-based machine connectivityMES· Manufacturing Execution System integrationISA-95· Enterprise-to-control integration modelERP· Work order, product, and planning context

Frequently Asked Questions

OEE = Availability × Performance × Quality. Availability compares actual run time to planned production time, Performance compares actual output to the ideal cycle rate, and Quality is good units over total units. The software computes all three continuously from machine data and rolls them into OEE with full drill-down.

Ready to see where your capacity is going?

Share your equipment mix, connectivity, and target KPIs. We'll return a plan to stand up real-time OEE on a first line — availability, performance, and quality — and scale it across the plant.