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:

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.

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.

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:

During this free webinar, Elliott Robertson of Burns and McDonnell‚ will discuss automation of the front end workflow for an NGL plant expansion. Learn how aspenONE® Engineering integrates key functions earlier in the process. By bringing together critical data up front in conceptual design, engineers can meet project milestones, while delivering a more optimized, economically viable design.

Con la introducción del monitoreo centralizado del desempeño en la versión 11 de aspenONE APC, las organizaciones pueden mejorar los márgenes operativos en toda la empresa al proporcionar una mayor visibilidad de los beneficios y el rendimiento de APC. Las nuevas capacidades no lineales en Aspen DMC3™ le permiten extender las características y la funcionalidad del controlador a procesos no lineales.

Did you know that up to 73% of data within an enterprise goes unused? With so many connected devices and processes, it’s critical for companies to more easily capture, view and share this data across functional areas.

After an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly debilitating event—happening again. Read this article from Plant Services to learn more.

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.