Optimizing Smelting and Refining Equipment Reliability with Prescriptive Analytics
In this case study, you’ll learn about how one of the world’s largest fully integrated zinc and lead smelting and refining complexes sought to improve their metallurgical operations. Download this case study today to learn how your organization can use Aspen Mtell® to benefit from cost avoidance, as well as improve safety and environmental performance.
Two Looming Failures Stopped Within Two Weeks of Monitoring
Read how this mining company used Aspen Mtell® to predict two failures when deployed on 12 assets during a short online pilot—enabling them to proactively plan for the maintenance and repairs, without exposure to higher downtime costs.
Mine Moves from Calendar-based to Condition-based Maintenance with Aspen Mtell
Download this case study to learn how one of the world’s largest fully integrated zinc and lead smelting and refining complexes wanted to improve their metallurgical operations. Seeking to make more use of the data they had in hand as well as the utility of interfaces, the company conducted a pilot of Aspen Mtell to evaluate the effectiveness of condition-based maintenance.