The Industrial Internet of Things (IIoT) and Artificial Intelligence/Machine Learning (AI/ML) are revolutionizing manufacturing by enabling intelligent process optimization. Here’s a breakdown of how these technologies work together:
IIoT: Capturing Real-Time Data from the Shop Floor
IIoT refers to the network of sensors, actuators, and machines that collect and transmit data across a manufacturing facility. Sensors attached to equipment monitor various parameters like vibration, temperature, energy consumption, and production output.
This real-time data provides a granular view of what’s happening on the shop floor, enabling a deeper understanding of process performance.
IIoT and AI/ML are powerful tools that, when combined, can transform manufacturing processes. By leveraging real-time data and AI-powered insights, companies can achieve significant improvements in efficiency, quality, cost savings, and overall business performance.
Digital Edge offers Vadict Process Optimization Solutions backed by AI / ML. Vadict helps companies to improve, optimize, and stabilize manufacturing processes. Vadict expertise helps companies analyse, adjust, and control processes to drive improvements in quality and overall process efficiency resulting in improvement in Overall Equipment Efficiency (OEE).
Vadict Process Optimization solutions encompasses OT & IT integration, It is backed by IIoT to connect and collect data from Operational Technologies (OT), at the same time, they can collect data from ERP. Vadict data visualization tools can quickly analyse large data sets of historical parameters set for processes and result achieved. Using these data points, Vadict process optimization solutions can identify opportunities for Process Optimization
Key features of Vadict Customized Process Optimization Solutions -
IIoT backed with IT integration capabilities
AI/ ML capabilities to identify causes of low performance
Visual simulation of process improvements with trends
Visualisation of historical data for better understanding of issues
Identification of data points/ aspects to be modified or modelled
Capability of processing and analysing large historical production data sets
Plant automation systems (PLC, SCADA, DCS, Smart Meters)
Plant execution systems e. g. Online Logbooks, Safety and Air Quality monitoring systems
Enterprise Systems (SAP, MRP),
Proprietary systems/applications/Excel sheets
“If I had one hour to save the world, I would spend fifty-five minutes defining the problem and only five minutes finding the solution. “
Scientist
AI/ML algorithms analyze the vast amount of data collected by IIoT sensors. These algorithms can identify patterns, trends, and anomalies that would be difficult or impossible for humans to detect manually.
Predict equipment failures
Optimize production processes
Reduce waste and defectsAutomate repetitive tasks
Reduced downtime
Improved quality
Lower costsEnhanced decision-making
Improved safety
While process optimization offers significant benefits, it’s not without its challenges. Here are some of the key hurdles companies face: