While your factory machines continuously generate valuable performance data, traditional SCADA systems, PLCs, and standalone equipment often trap these insights, making data-driven decision-making a complex, and potentially costly, endeavor. Industrial control systems from different vendors often don't communicate effectively, creating data silos that leave management without real-time visibility into operations.
Viam, an engineering platform, can now bridge this gap without requiring hardware replacement. What if you could unlock data from any machine on your factory floor? How might that change your business?
1. Real-time machine health metrics
Industrial control systems often lack comprehensive data access capabilities, leaving manufacturers with limited visibility into equipment conditions.
With greater visibility, you could enable:
- comprehensive machine health monitoring
- predictive maintenance capabilities
- reduction in unexpected downtime
2. True production capacity & bottlenecks
Identify hidden capacity constraints that traditional Manufacturing Execution Systems (MES) consistently miss.
With new AI capabilities, you can implement:
- advanced bottleneck identification
- data-driven capacity optimization
- throughput increase without capital investment
3. Quality control indicators
Move beyond basic pass/fail data trapped in siloed quality control systems. With Viam you can now spot subtle performance patterns:
- advanced pattern recognition in sensor data
- deeper quality insights beyond traditional metrics
- potential reduction in scrap rates using previously inaccessible data
4. Cross-plant performance analysis
Break down data silos between facilities running different control systems, enabling:
- enterprise-wide performance benchmarking
- best practice identification and replication
- potential performance improvement across manufacturing networks
