Favicon of Rockwell Automation

Nickel producer implements Rockwell’s control solution to enhance the quality of ore calcination through kilns

A documented Document & Data Processing in Metals & Mining deployment at Nickel producer, with source-attributed results and missing evidence labelled explicitly.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
2 cited below
Directory entry published:

The source-link check confirms reachability, not independent re-verification of every claim.

6%Reduced errors, including a
70%Improved uptime, which increased from

Source-reported figures — cited source: rockwellautomation.com

The Challenge

Legacy system was too slow – causing frequent electrical trips due to product temperature being too high, which was compromising product quality. Legacy system was not user-friendly and was difficult to maintain leading to uptime issues.

The Solution

Rockwell Automation’s FactoryTalk® Analytics™ PavilionX™ platform, a model predictive control solution that controls the plant in real time. The platform offers an intelligence layer that sits on top of automation systems and continuously assesses current and predicted operational data.

Results

Improved performance, using autonomous and real-time data, and comparing this to desired results. Model Predictive Control sets new control targets in the control system to reduce process variability, improve performance, and boost efficiency. Reduced errors, including a 6% reduction in product temperature error, and a significant reduction in temperature profile variability. Improved uptime, which increased from 70% to substantially higher levels with the new Rockwell software.

Key Takeaways

  • Improved performance, using autonomous and real-time data, and comparing this to desired results. Model Predictive Control sets new control targets in the control system to reduce process variability, improve performance, and boost efficiency.
  • Reduced errors, including a 6% reduction in product temperature error, and a significant reduction in temperature profile variability.
  • Improved uptime, which increased from 70% to substantially higher levels with the new Rockwell software.

Share:

Details

AI Technology
Not available in record
Company Size
MidMarket
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published

Have a similar implementation?

Share your customer's AI results and link it to your vendor profile.

Submit a case study →