The latest Asset Performance Management (APM) solutions are enabling pharmaceutical companies to protect their supply chain, increase asset utilization and avoid unplanned downtime by accurately predicting when equipment anomalies will occur, understanding why they do and prescribing what to do to avoid a potential failure.

You’ve heard of Prescriptive Maintenance (RxM), but how can you leverage it to drive real value in your organization? In this on-demand webinar, AspenTech’s Ryan Conger demonstrates how data-driven insights from AI and machine learning mitigate maintenance issues and improve productivity. Through a series of case studies, Ryan shows how Prescriptive Maintenance is being used to:

How can you use historical data to improve batch quality, increase yield and reduce costs? Join Dr. John MacGregor, a foremost thought leader on multivariate analysis and founder of ProSensus, as he shares how Aspen ProMV helps you solve the most complex manufacturing problems. Discover key capabilities to help you:

​It’s time to stop equipment breakdowns: but where and how should you start?

As predictive and prescriptive analytics become better understood across industries, companies are putting new focus on maintenance maturity and the use of digital technologies. They’re realizing that having a robust maintenance program means leveraging APM technology—and their data—to the fullest advantage.

How are you using technology to make CAPEX and OPEX tradeoff decisions in the current volatile market? Many industry leaders are leveraging digitalization in their scenario planning to respond to fast changing conditions while minimizing the impact on business.

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.

Refining and petrochemicals producers face increased pressure to maximize margins while improving safety and sustainability. In this on-demand webinar, learn how Pan American Energy implemented a predictive maintenance solution powered by artificial intelligence to predict critical equipment failures – giving time back to production and reducing operational risk.

¿Como utiliza la tecnología para tomar decisiones de proyectos CAPEX y OPEX en el mercado volátil actual? Muchos líderes de la industria están aprovechando la digitalización en su planificación de escenarios para responder a condiciones que cambian rápidamente minimizando el impacto en los negocios.

Are you experiencing unplanned equipment failures and higher than expected warranty and program costs? A critical step in the IoT journey is using historical and real-time data to forecast when equipment could fail through early identification of anomalies and fault prediction. During this webinar, Frederic Bastien, VP, Product Management with AspenTech, will discuss how advanced IoT models predict equipment failures and provide the following benefits: