Contrary to popular opinion, the journey to improve asset performance does not need be an ordered, strict, logical set of steps. Rather, it is about knowing the right issues to solve at your site and doing so with technologies that complement your assets.

To remain agile, competitive and profitable long term, mine operators must focus on the critical need to integrate digital capabilities into their operations as much—and as quickly—as possible. Digitalization can help boost performance for companies across the metals and mining value chain.

As asset-intensive companies grapple with the increased complexity of maintaining reliable, high performing equipment, the challenge grows exponentially when critical asset data—maintenance records, sensor data, historical information, etc.—is siloed across various systems, departments and formats.

Watch this video demonstration to learn more about how Aspen Mtell can help you enhance performance monitoring and energy efficiency.

Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

Electric and gas utilities are facing new levels of complexity due to the transformation of supply and demand dynamics, leading to significant asset growth—while they also manage increased performance expectations. In this context, any asset downtime or unplanned maintenance can lead to safety risks and costly service interruptions.

Aspen Mtell uses data-driven predictive maintenance technology to deliver the earliest, most accurate warning of equipment failures. It empowers organizations to take a proactive approach, minimizing disruptions, ensuring a safer work environment, and delivering a rapid return on investment for diverse industries.

In this case study, discover how Sardeolica used prescriptive maintenance to achieve maximum value and expects to reduce maintenance costs up to 10 percent per year.

Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? Learn how Aspen Mtell and Aspen Fidelis enable you to quickly evaluate hundreds of possible future scenarios, and understand the financial consequences and risk involved in different operational decisions.

Aspen Mtell introduces exciting new features, including Alert Manager, industry-specific asset templates, custom models (BYOM) and intuitive dashboards and KPIs for improved visibility, health insights and recommended actions. This infographic provides a comprehensive overview of the capabilities now available in Aspen Mtell.