Rethinking Machine Performance
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Enterprise Asset Management Systems (EAM)
- Equipment & Machinery
- Maintenance
- Predictive Maintenance
Machine uptime is one of the most vital performance factors for electric rotating machinery. In times when an hour of downtime can equate to thousands of dollars in losses, securing predictability turns into a high priority for all industrial businesses. Manufacturers operate in an extremely volatile environment, thus avoiding unplanned downtime becomes critical for achieving desired business outcomes. Predictive maintenance is no longer a nice-to-have but a necessity to survive and thrive in unfavourable conditions. Start from the basics. Making machines perform better means, first and foremost, understanding how the machine works, extracting relevant data, and gaining meaningful insights into ongoing processes. The power of the machine lies in utilizing its full potential.
Relayr’s Industrial IoT offering helps companies overcome these challenges and stay relevant in a competitive environment. A proactive approach guarantees reliability, predictability, and increased performance. Leveraging relayr’s artificial intelligence-based IoT technologies, FLANDERS can provide its customers with new digital services and thus further reduce unexpected downtime and improve asset performance.
Furthermore, operators gain ongoing insights into critical failures and efficiency levels, thus increasing machine predictability and performance. Through the partnership, it is now possible to reduce capital expenditures and ensure maximum production of critical assets. FLANDERS is the first company in the market for customers in mining and heavy industrial markets that can offer innovative, guaranteed uptime and pay-per-use models.
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