You and your organization know that contributions from maintenance are key to improving operations and helping your company stay competitive. However, many teams are not yet taking advantage of the latest advances in asset performance management, or APM, to help make the right decisions to drive an effective maintenance strategy.

In this webinar, the second in our series of Asset Performance Management (APM) webinars for data scientists, learn how APM applications help data science teams rapidly design and scale new solutions. See how complex and time-consuming tasks such as feature engineering, state classification and best model selection are greatly streamlined—without building customized tools. AspenTech expert Ashok Rao focuses on solving complex reactor problems in the chemicals industry. Learn how Aspen Maestro™ for Mtell and ProMV® enables you to:

The Asset Performance Management (APM) space is evolving rapidly, and a key challenge for many plant teams is scaling and integrating APM solutions across their enterprise. IT and OT convergence also continue to drive the need for innovation.

How do you navigate the complexity of your batch processes? You need a sophisticated multivariate analytics tool that can reliably extract actionable insights from your process and laboratory data. In this webinar, we will provide an overview of our Aspen ProMV™ software suite, which provides leading-edge, patent pending batch data analytics to continually drive your process to optimal performance for quality, yield and throughput, while ensuring process safety.

This on-demand webinar focuses on how the Aspen ProMV™ operational analytics suite provided a time-efficient and cost-effective solution for ADM in solving their most critical manufacturing process challenges by quickly learning from their process data.

As a leading synthetic fuel plant based in Qatar, ORYX GTL’s mission is to “add value to Qatar’s natural resources by applying innovative technology.” Reducing CO2 emissions and flaring at the world’s first-ever, commercial-scale Gas-to-Liquid (GTL) plant is key to supporting this mission. More specifically, the company is using advanced process analytics to achieve its ambitious operational goals.

Las innovaciones en IA industrial ahora permiten la descarbonización de los principales procesos químicos y de refinación, mejoran la eficiencia energética y del agua, reducen las emisiones de gases de efecto invernadero e impulsan la captura y el almacenamiento de carbono. Descubra cómo estas tecnologías digitales y aplicaciones pueden apoyarlo a alcanzar más rápido sus objetivos de sustentabilidad a través de la simulación de procesos, la optimización de servicios públicos, el control avanzado de procesos, el mantenimiento predictivo, la optimización de la planificación de la producción y la gestión de la cadena de suministro.

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?

The ability of bio-pharmaceutical manufacturers to deliver quality drug products during challenging market conditions is critical for ensuring sustainability over the long run. The COVID-19 pandemic underscored the need to transform the traditional bio-pharmaceutical supply chain to have greater agility and resiliency during market swings and periods of volatility.

Volatility in today’s markets is driving innovation across the Asset Performance Management (APM) space, demanding new levels of operational excellence and more dynamic approaches to achieve company goals. A holistic solution looks beyond just optimizing maintenance processes to deliver Financially Optimized Asset Performance. AspenTech refers to this as Autonomous Reliability.