Hydro Extrusion Nenzing Revolutionizes Maintenance with Centralized Data Management
“Hydro Extrusion Nenzing Revolutionizes Maintenance with Centralized Data Management” documents a Predictive Maintenance deployment in Metals & Mining at Hydro Extrusion & Components Nenzing. Any reported results remain attributed to rockwellautomation.com; this directory has not independently verified the source's claims.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- Not reported by source
- Directory entry published:
The source-link check confirms reachability, not independent re-verification of every claim.
The Challenge
Hydro Extrusion's Nenzing plant with three extrusion press lines and 46,000 tonnes/year capacity generated massive operational data. Managing and distributing this data effectively to the right operators at the right time was impossible with multiple disconnected HMIs across the plant.
The Solution
ThinManager from Rockwell Automation was deployed to centralize management and visualization of operational data, enabling operators to access the right data from anywhere—not just from line-side HMIs—for faster and more informed decisions.
Results
Enhanced product quality through instant appraisal of variables and parameters. Avoided production losses through reduced unplanned downtime. Higher safety levels through anywhere-access to data. Easier data management through a centralized server.
Key Takeaways
- Centralizing production data management enables operators to detect and address issues from any location rather than being tied to specific machines
- Thin client architectures reduce hardware costs while improving data accessibility and security for distributed manufacturing environments
- Multi-axis extrusion plants with 30,000+ product profiles require flexible data management solutions that can handle high complexity
Explore Related
Vendor
Details
- Industry
- Metals & Mining
- Use Case
- Predictive Maintenance
- AI Technology
- IoT & Sensors
- Company Size
- Enterprise
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
Cited source
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