Industrial IoT (IIoT) for Manufacturing
Industrial IoT for manufacturing that connects PLCs, CNCs, and sensors to the cloud via OPC-UA and MQTT. Real-time machine telemetry, OEE streaming, and edge processing inside the connected factory.
Most manufacturing plants still can't see live machine state from the office. Industrial IoT for manufacturing should fix that, but over 70% of IIoT pilots stall before production. WorkCell treats machine telemetry as part of the operating system, so PLC, SCADA, and OPC-UA signals land next to the work orders they belong to.
Data Stranded Inside PLCs
Cycle counts, alarms, and axis loads die at the controller because IoT data collection never reaches the ERP, so operators re-key numbers onto clipboards at shift change.
Manual Downtime Tracking Nobody Trusts
Paper downtime logs turn reason codes into guesses and minutes into rounding, and OEE reports built on that data fall apart the moment a plant manager asks a hard question.
Pilot Projects That Never Scale
Industry 4.0 pilots stall when the sensors work but the ROI was never tied to a P&L line, so six months later the gateway is unplugged and the spreadsheet is back.
OPC-UA and MQTT Connectivity
Native IoT connectivity solutions for OPC-UA, MQTT, Modbus TCP, EtherNet/IP, and legacy serial bring industrial IoT devices into one normalized stream, from newer CNCs down to the 1998 press brake.
Real-Time Machine Telemetry
Cycle counts, spindle speeds, temperatures, and alarm codes stream in with sub-second latency, each data point stamped with the work order, operator, and part it belongs to.
Streaming OEE and Utilization
Availability, performance, and quality compute continuously from real machine signals, broken out by asset, cell, line, shift, and SKU with drill-downs that land on the actual downtime events.
Predictive Alerts and Anomaly Detection
Rolling baselines per machine pair IoT and predictive maintenance with work request routing, so bearings, spindles, and tools get scheduled interventions instead of unplanned stoppages.
of industrial IoT pilots fail to scale beyond the pilot stage
World Economic Forum, Global Lighthouse Network
estimated annual economic value from IIoT in manufacturing by 2025
McKinsey Global Institute, The Internet of Things
of manufacturers expect smart factory initiatives to be the main driver of competitiveness
Deloitte Smart Factory Study
Analytics
Live dashboards and drill-down reporting built on the same database as IIoT telemetry and work orders, so OEE, throughput, and scrap tie back to the job and machine that produced them.
Shop Floor
Operator-facing execution layer where machine signals, clock-ins, and quality events land on one work order record instead of a screen in the hallway.
Maintenance
Predictive and preventive maintenance driven by live telemetry, with runtime hours, vibration, and temperature triggering work requests before downtime hits the OEE board.
What is industrial IoT in manufacturing?
Industrial IoT is the network of machines, sensors, controllers, and edge devices on a plant floor that stream data back to software for monitoring, analytics, and control. The goal is closing the loop between the machine, the work order, and the decisions made about both.
How do you start an IIoT project without it stalling?
Pick one line, one measurable outcome, and one number you want to move, usually OEE or unplanned downtime minutes. Most industry 4.0 pilots fail because they start with a platform decision instead of a business decision.
Which protocols do industrial IoT devices use?
The modern defaults are OPC-UA for machine-to-software communication and MQTT for lightweight pub/sub over unreliable networks. Older equipment still runs Modbus TCP, EtherNet/IP, Profinet, and serial protocols that need a gateway to translate.
Industrial IoT (IIoT) for Manufacturing
See industrial IoT for manufacturing that actually reaches the P&L, not another dashboard on the wall.