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Overall equipment effectiveness (OEE) software captures real-time machine states and production data through lightweight retrofit sensors, PLC connections, or manual input, and automatically calculates availability, performance, and quality metrics across mixed-age equipment. It supports automatic or operator-entered downtime reason coding aligned to the Six Big Losses, and consolidates data into dashboards, automated reports, and historical analytics that show downtime causes, speed losses, and scrap rates by machine, line, shift, or facility. Operators see live performance against targets on shop-floor displays and receive andon-style alerts. Platforms connect through OPC UA and MTConnect, integrate with MES, SCADA, historians, ERP, and CMMS, and can be deployed at the edge or in the cloud. Unlike MES, which manages production execution and genealogy, OEE software measures equipment performance.
OEE software addresses the lack of real-time visibility into manufacturing productivity, replacing time-consuming and inconsistent manual tracking with automated, accurate data collection. It separates machine-related losses from process inefficiencies and pinpoints the root causes of downtime, speed loss, and quality defects, including short stops and micro-stoppages that often go unrecorded, so teams can prioritise high-impact improvements. By connecting mixed-age equipment affordably, it removes the blind spots created by legacy machines. Consistent OEE calculations across lines and sites end disputes over data and enable benchmarking, giving lean and continuous improvement programmes a reliable baseline. The result is less unplanned downtime, scrap, and rework, higher throughput, and hidden capacity released, which can avoid unnecessary capital expenditure on new machines.
James Prestwood leads Verdantix research in this category. Speak to them for independent guidance on current coverage and the right shortlist for your requirements.
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10 solutions shown

by Guidewheel
A cloud-based FactoryOps platform that uses clip-on sensors to read each machine's electrical signal, tracking downtime, OEE, production, cycles and energy in real time with AI-powered anomaly detection and alerts.

by MachineMetrics
AI-powered manufacturing operations platform and Intelligent MES that captures real-time machine data to automate downtime tracking, OEE and utilization analytics, work order management, and scheduling for discrete manufacturers.

Cloud-based OEE software that automatically collects machine data via an IIoT device and sensors, calculates OEE, tracks downtime and visualizes production performance in real time through dashboards, shift views, reports and checklists.

by Parsec
by APMS.ai
Industrial IoT platform that connects any machine through edge hardware and retrofit sensors to deliver live status, utilisation, OEE, reason-tagged downtime and loss analysis with dashboards and alerts.
by SensFlo
Machine monitoring and production intelligence platform that reads signals from legacy and modern equipment via plug-and-play sensors and converts them into real-time utilization, OEE, downtime, cycle time and predictive maintenance data. Offered in Lite, Pro and Premier tiers with an AI assistant, operator workflows and MES/ERP integration.
by Kinnil
Real-time OEE and production monitoring that connects to machines with or without a PLC, using its own non-invasive hardware. It reports availability, performance and quality with downtime causes, andon alerts and automatic shift reports.
by Memex
Automated machine monitoring and OEE software, also a Manufacturing Operations Management System, that captures real-time machine states and production data from CNC, non-CNC and legacy machines. It provides dashboards, downtime and reject analysis, alerts and ERP integration.
by TEEPTRAK
Real-time OEE module that automatically captures every stop and slow cycle on any machine, lets operators qualify causes in two taps, and delivers live OEE, loss Paretos and multi-plant dashboards.
by Vorne
A standalone edge computing appliance that connects to one or two sensors on a machine to automate production data collection. It provides real-time and historical OEE, downtime and loss reporting through a built-in browser-based reporting suite and a plant-floor scoreboard.