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 imple...White Paper
Over the past 40 years, maintenance best practices have greatly improved, but equipment continues to break down. So how can asset reliability be improved? With Aspen Mtell prescriptive maintenance sof...Video
It’s hardly a secret that equipment downtime is costly – studies have shown that even small failures can cost hundreds of dollars per minute.Blog
Pharmaceutical companies, CDMOs and CMOs continue to grapple with the tension between meeting the demand for increasingly diverse pharmaceutical products and the escalating challenges in ensuring supp...White Paper
For chemical and petrochemical producers, reducing emissions and minimizing disruptions to process requires analyzing and monitoring vast amounts of disparate process data. In this video, learn how Pe...Video
In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.Case Study
Aspen Fidelis enables plant managers to identify the optimum approach for improving throughput at the lowest cost. In this video, see how this powerful tool can run hundreds of event-driven Monte Carl...Video
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? In this video, lea...Video
See how Aspen Fidelis enables any engineer in any department to identify the cause of lost operational availability and justify important decisions.Video
Processing Magazine names Aspen Mtell as a “Breakthrough Product” of 2021
Aspen Process Analytical Technology (PAT) solution named Pharma Manufacturing 2021 Pharma Innovation Award Winner
Get early and accurate warning of when an asset failure will occur, how the failure will occur and what to do about it.
Prioritize spending by identifying facility bottlenecks, quantifying system capabilities and predicting future performance with accurate simulations of “what-if” scenarios.
Get early and accurate warnings on process health deviations with insights to prevent off-spec product, maintain efficiency and rapidly optimize operations.
Receive early and accurate warnings of product health issues to improve product quality, reduce waste and support PAT, in compliance with regulatory requirements.