Problem
Assembly line items have little to no intelligence. Building an ecosystem to collect, interpret and proactively use the data requires establishing connection through IoT.
- Productivity bottleneck
- Lack of actionable machine insights
- Repeated maintenance and downtime
Solution
Welding data monitoring enables IIoT connectivity, enabling process optimization capabilities across functions. IoT connectivity enables machine learning, allowing robots to fix small variations and inconsistencies in their processes, and provide a more holistic view of production.
- Machining and tooling status
- Production cycle time by process
- Real-time resource status monitoring
Outcome
Manufacturers gains insight into real-time operations and are able to manage the operations more effectively.
- Improved machine status
- Extend equipment service life
- Improve reliability
