Real-time visibility to production targets and key performance indicators

金属・鉱業

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

Intelligent mining provides meaningful insight into everyday operations to support proactive decision making. Predictive maintenance solutions designed specifically for mining organizations help improve equipment utilization, performance, reliability and safety.

Increase visibility and responsiveness to production problems through real-time monitoring of business metrics via dashboards, alertsand pattern matching.

Executives at this mining company were looking for a new approach to proactively handle reliability issues for critical equipment.

When one of the world’s largest fully integrated zinc and lead smelting and refining complexes wanted to improve their metallurgical operations, the company turned to Aspen Mtell® prescriptive maintenance.

Strategically leverage data with technology to quickly capture savings and increase profits to create the mine of the future. View this infographic and discover the recommended steps to transform data into value on the Road to the Digital Mine.

Enhance mine-to-mill-to-metal operations with cutting-edge technologies that drive production increases, cost savings and increased safety for employees, the community and the environment. Learn how machine learning in AspenTech’s asset performance management solutions helps ensure reliable operations, enhance process efficiencies and increase mineral recovery.

By monitoring asset condition and behavior and developing profiles of normal operations, anomalies and failures, predictive maintenance tools can notify staff of equipment problems prior to failure.