Combine machine learning and advanced sequence optimization algorithims to build the plant of the future.

When hyper compressors fail, the cost of production losses can range from tens of thousands to millions of dollars per occurrence. In this white paper, learn how companies are using Aspen Mtell to recognize the early indications of hyper compressor failure, reducing unplanned downtime and catching problems earlier—allowing more lead time to take appropriate action.

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.

How are today’s industry executives maximizing the reliability and value of their assets? With asset performance management powered by the industrial internet of things and machine learning, companies can leverage both equipment and process data to extend the life of their assets and achieve optimum reliability. In this on-demand webinar presented by ARC Advisory Group Vice President Ralph Rio and AspenTech Senior VP John Hague, you’ll learn how APM 2.0 is enabling companies to break down the wall between operations and maintenance and achieve a higher return on assets.

Real-time visibility to production targets and key performance indicators

Close the gap between planning and actual operations with Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ aligns planning and scheduling objectives by dynamically optimizing and coordinating multiple process units in real time to ensure the best site-wide economic results, consistently and on a minute by minute basis. Download this brochure to discover how companies are minimizing product giveaway, increasing throughput, improving yields and much more!

Learn about how the synergy between innovations in model identification, automated testing and controller operating modes are creating opportunities to bring new efficiencies to sustaining APC controllers. These innovations address some of the long-standing challenges facing APC practitioners: dealing with closed loop data, managing APC solutions with model mismatch until repairs can be completed, and reducing the operational impact of step testing. With these advances, we now have the technology to begin constructing continuous improvement processes in lieu of the traditional sustained value workflows.

With downstream margins globally close to a 10-year low, according to S&P Global Platts Analytics and ExxonMobil, companies need to find new areas for improvement. Current digital solutions offer ways plants can move beyond mechanical and equipment investments to drive greater profits. Download this white paper that outlines high impact operational improvements that deliver immediate results.

Process manufacturers are besieged with all kinds of data. The increasing volume and detail of information captured by enterprises is a strong indication that leaders in every sector must deal with the implications of big data. Modern analytics in aspenONE Process Explorer deliver new capabilities that enable deeper and richer analyses and provide speedy access to the information needed to keep production running smoothly.

Decrease downtime and increase customer satisfaction by analyzing data and identifying opportunities to improve overall equipment effectiveness in batch operations with Batch OEE.