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The quality of your OEE measurement is determined entirely by the quality of your machine data collection. A sophisticated OEE dashboard built on manually-entered data will produce OEE figures that are 10\u201325 points higher than reality. An accurate OEE system built on automated, continuous machine data capture will reveal the true performance of your equipment \u2014 including the micro-stoppages, speed losses and quality defects that manual systems consistently miss. This guide covers every method of OEE data collection software<\/strong> and connectivity, their accuracy levels and how to choose the right approach for your machine fleet.<\/p>\n The operator records production quantities, stoppage reasons and durations on paper or a digital form at the end of each shift. OEE software calculates the three components from the entered data.<\/p>\n Accuracy:<\/strong> 60\u201375% of actual OEE. Micro-stoppages under 5 minutes are never recorded. Changeover times are rounded. Rework is excluded from quality counts. The result is systematic overestimation of 10\u201325 points.<\/p>\n When appropriate:<\/strong> initial awareness phase, teams not yet ready for automated measurement. Should be considered a temporary step toward automated data capture.<\/p>\n Current sensors clip onto the machine’s power supply cable and detect production cycles through electricity consumption patterns. Each time the machine runs a cycle, draws power for a cut or activates a motor, the sensor records a state change event with millisecond precision. No machine modification, no PLC access, no electrician required \u2014 10 to 15 minutes per machine.<\/p>\n Accuracy:<\/strong> 92\u201398% of actual OEE. Captures all machine state changes including micro-stoppages. Cannot distinguish the specific cause of an arr\u00eat (that context is added by the operator via tablet).<\/p>\n Machines supported:<\/strong> any electrically-powered machine regardless of age, type or interface \u2014 hydraulic presses, injection moulding machines, CNC machines, conveyor lines, packaging equipment, welding stations, assembly presses.<\/p>\n TeepTrak Field V4 approach:<\/strong> non-intrusive current sensors paired with an industrial touchscreen tablet on which the operator qualifies arr\u00eats in real time. Machine state is captured automatically; human context (which arr\u00eat category, which product) is added through a 15-second operator interaction.<\/p>\n Modern CNC machining centres, robots and automated equipment typically support OPC-UA, Modbus, MQTT or proprietary machine protocols. OEE data collection software connects directly to the machine controller and reads program state, cycle count, feedrate, spindle utilisation and alarm status in real time \u2014 without any additional sensor hardware.<\/p>\n Accuracy:<\/strong> 95\u2013100% of actual OEE. Captures all machine events including program-level cycle time, feedrate overrides and tool changes. Alarm codes can map automatically to arr\u00eat categories.<\/p>\n Machines supported:<\/strong> CNC machining centres (Fanuc, Siemens, Mitsubishi, Heidenhain, Okuma), industrial robots (KUKA, ABB, Fanuc), and any machine with an OPC-UA or Modbus interface.<\/p>\n Limitation:<\/strong> only works on machines with digital interfaces. Does not cover the majority of older equipment in most manufacturing facilities.<\/p>\n For highly automated production lines where a PLC or SCADA system already monitors machine states, OEE data collection software can read directly from the control system via standard industrial protocols. This provides the richest data \u2014 including production counts, recipe information, alarm codes and process parameters \u2014 without any additional hardware.<\/p>\n Accuracy:<\/strong> 97\u2013100% of actual OEE if the PLC programme correctly monitors all relevant states. Requires involvement of the control system integrator to add OEE-relevant data points if they are not already mapped.<\/p>\n Machines supported:<\/strong> any automated line with a Siemens, Allen-Bradley, Schneider, Beckhoff or other major PLC brand. Typically requires 2\u20138 hours of PLC integration work.<\/p>\n Once machine data is captured, OEE calculation software processes it into the three OEE components. The calculation requires three configuration parameters per machine: planned production time (shift schedule minus planned stops), ideal cycle time per product reference, and quality threshold (parts per million or percentage). TeepTrak’s configuration wizard sets these parameters in 20\u201330 minutes per line during deployment.<\/p>\n The platform then calculates OEE continuously as production data arrives \u2014 updating the availability rate, performance rate and quality rate in real time, visible on the shop floor dashboard and accessible on any device.<\/p>\n Most manufacturing facilities have a mix of machine types: some modern CNC machining centres with OPC-UA, some older equipment with no digital interface, and some fully automated lines with PLC\/SCADA. TeepTrak handles all three connection methods simultaneously in a single deployment \u2014 non-intrusive sensors on legacy machines, OPC-UA on modern CNCs, PLC\/SCADA integration on automated lines \u2014 providing a unified OEE view across the entire facility regardless of machine vintage or connectivity level.<\/p>\n OEE data collection software is the component of an OEE platform that captures machine state data \u2014 running, stopped, speed, production count \u2014 from equipment on the manufacturing floor. It uses IoT sensors, OPC-UA protocol connections or PLC integrations to collect data automatically, eliminating manual entry and improving OEE measurement accuracy from 60\u201375% (manual) to 92\u2013100% (automated).<\/p>\n Non-intrusive current sensors are the standard solution for legacy machines without PLCs or digital interfaces. The sensors clip onto the machine’s power supply cable and detect production cycles through electricity consumption patterns \u2014 no machine modification, no PLC access, no electrician. Installation takes 10\u201315 minutes per machine. TeepTrak’s sensors work on any electrically-powered machine regardless of age or type.<\/p>\n OEE calculation software takes the raw machine state data captured by connected sensors or protocol integrations and calculates the three OEE components \u2014 availability rate, performance rate and quality rate \u2014 in real time. It requires a shift schedule, ideal cycle times per product reference and a quality baseline as configuration inputs. TeepTrak’s calculation engine updates OEE continuously, with results visible on shop floor dashboards and management reports.<\/p>\n Yes \u2014 with non-intrusive IoT sensors, OEE data collection requires no IT project, no network changes and no involvement from the IT department. TeepTrak sensors transmit data via industrial WiFi or LTE directly to the cloud platform, independently of the factory IT network. The entire deployment \u2014 sensors, tablets, dashboards \u2014 is completed in 48 hours by TeepTrak field engineers with zero IT involvement.<\/p>\n \nCapture accurate OEE data from your machines in 48 hours<\/strong> See also: OEE software complete guide<\/a> \u00b7 OEE dashboard software<\/a> \u00b7 OEE software for manufacturing<\/a><\/p>\nThe 4 Methods of OEE Machine Data Collection<\/h2>\n
Method 1 \u2014 Manual Data Entry (Operator Logsheets)<\/h3>\n
Method 2 \u2014 Non-Intrusive IoT Current Sensors<\/h3>\n
Method 3 \u2014 OPC-UA \/ Protocol Integration (CNC and Modern Machines)<\/h3>\n
Method 4 \u2014 PLC \/ SCADA Integration (Fully Automated Lines)<\/h3>\n
OEE Data Collection Accuracy Comparison<\/h2>\n
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\n \nMethod<\/th>\n Accuracy<\/th>\n Install Time<\/th>\n Machine Types<\/th>\n IT Required<\/th>\n<\/tr>\n<\/thead>\n \n Manual logsheet<\/td>\n 60\u201375%<\/td>\n Immediate<\/td>\n Any<\/td>\n None<\/td>\n<\/tr>\n \n Non-intrusive IoT sensor<\/strong><\/td>\n 92\u201398%<\/strong><\/td>\n 10\u201315 min\/machine<\/strong><\/td>\n Any (no PLC needed)<\/strong><\/td>\n None<\/strong><\/td>\n<\/tr>\n \n OPC-UA \/ protocol<\/td>\n 95\u2013100%<\/td>\n 2\u20134 h\/machine<\/td>\n Modern CNC \/ networked<\/td>\n Minimal<\/td>\n<\/tr>\n \n PLC\/SCADA integration<\/td>\n 97\u2013100%<\/td>\n 2\u20138 h\/line<\/td>\n Automated lines with PLC<\/td>\n PLC integrator<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n OEE Calculation Software: From Raw Data to OEE Score<\/h2>\n
How TeepTrak Handles Mixed Machine Fleets<\/h2>\n
FAQ<\/h2>\n
What is OEE data collection software?<\/h3>\n
How does OEE software collect data from old machines without PLCs?<\/h3>\n
What is OEE calculation software?<\/h3>\n
Can OEE data collection software work without an IT project?<\/h3>\n
\nNon-intrusive sensors \u2014 any machine \u2014 no IT project \u2014 free proof of concept<\/span>
\nStart your free OEE data collection POC<\/a>\n<\/p>\n