In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive efficiencies across plant operations and increase sustainability. This made a major contribution to operators in accelerating digitalization plans. Aspen Mtell has become an integral part of MOL’s strategic digitalization plan, which includes initiatives to extract increased value from its assets and increase overall plant availability to 96+ percent.

In this case study, discover how OCP Ecuador used prescriptive maintenance to accurately identify asset failure and reduce maintenance costs. With three times the initial investment returned in less than five months, OCP Ecuador is planning to scale Aspen Mtell® to protect 13 additional assets in the near future - and to scale across the enterprise in the coming years.

Huge increases in demand mean pulp and paper manufacturers require that their equipment run more efficiently and for longer spans of time, without the need for constant maintenance oversight.

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to implement prescriptive maintenance solution, companies can improve the accuracy of failure detection, increase the advance notification period of asset downtime events and reduce maintenance spend.

How do we meet the expectations of a growing population, but also address sustainability? This short video featuring Antonio Pietri, CEO Aspen Technology, discusses this dual challenge and the new levels of operational excellence in the capital intensive industries.

For reliability engineers, Failure Modes and Effects Analysis (FMEA) is a step-by-step process for identifying and tracking the various ways an asset or equipment can fail. But despite its merits, FMEA is labor intensive, typically used only for critical equipment and does not sufficiently use data to improve its capability.

Huge increases in demand mean pulp and paper manufacturers require that their equipment run more efficiently and for longer spans of time, without the need for constant maintenance oversight.

It’s more crucial than ever to ensure high asset availability with fewer production losses. AI-powered predictive maintenance solutions help by providing early and accurate warnings of potential failures.

Veracel is an agro-industrial enterprise with an annual production of 1.1 million tons of Kraft cellulose. In 2020 they partnered with AspenTech to implement Aspen Mtell on their critical assets to improve their asset availability and utilization, reduce production losses, and decrease maintenance costs. Implementing Aspen Mtell has also allowed them to increase the collaboration between reliability, maintenance, and operations teams. Watch this video to find out how Veracel is increasing production while achieving its sustainability goals.

The priorities of industrial manufacturers are changing. While minimizing asset downtime and maximizing production and quality remain important, sustainability and operational initiatives are becoming intricate parts of a company’s strategic objectives. Increasingly, they are relying on asset performance management (APM) software to meet the challenges of volatile market demands and supply chain disruptions and optimize overall asset performance.