Nói Síríus Icelandic Chocolatier Moves to Predictive Maintenance with Fiix CMMS
Nói Síríus deployed Predictive ML for Predictive Maintenance in Food & Beverage. As reported by rockwellautomation.com: 2,000 tons of sweets and chocolates annual production.
Source-reported figures — cited source: rockwellautomation.com
What Nói Síríus was trying to fix
Production line systems were not monitored and no data was collected, making it impossible to predict performance degradation. Maintenance staff spent most time reacting to urgent callouts and couldn't plan cost-effective maintenance schedules.
What Nói Síríus deployed
Implemented Fiix CMMS software across the entire production line to gather data on machine usage and performance, enabling a shift from reactive to preventative maintenance.
Results
Maintenance and operational staff switched to collaborative job queue prioritization. Engineers spent more time optimizing than reacting to faults. Fewer unplanned callouts. Company is now networking all machines with Rockwell Automation.
Key Takeaways
Deploying CMMS software as a first step in connecting production lines gives chocolatiers and confectioners the data foundation to transition from reactive to predictive maintenance, reducing unplanned downtime without requiring full automation overhaul.
Evidence for Nói Síríus's Predictive Maintenance deployment
- Reported outcome metrics
- 1 cited below
- Cited source
- rockwellautomation.com
- Last updated
Explore Related
Vendor
Details
- Industry
- Food & Beverage
- Use Case
- Predictive Maintenance
- AI Technology
- Predictive ML
- Company Size
- MidMarket
- Company
- Nói Síríus
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