White Paper

Empowering Operators and Frontline Process Engineers with AI-Powered Operational Analytics

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.

User Conference


We are excited to announce OPTIMIZE 24, our worldwide user conference, taking place April 29–May 3 in Houston, Texas.


APM 4.0: Financially Optimized Asset Performance Management

Asset Performance Management (APM) 4.0 concerns far more than just asset reliability and availability. It is all about fully optimized asset performance driving to any manufacturing company’s bottom line.

On-Demand Webinar

APM 4.0: More Than Improved Maintenance

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.


ARC View: AspenTech’s Multifaceted Approach to Asset Performance Management (APM)

Today’s asset intensive organizations face multiple competitive, market and economic related challenges, not the least of them relates to managing the business during a pandemic. This drives the need for new and expanded asset performance capabilities that go beyond traditional maintenance management approaches to include improved access to process data.


Verdantix Buyer’s Guide: Asset Performance Management Software

Demand for asset performance management (APM) solutions is on the rise as industrial organizations are seeking to increase profit margins while improving the reliability and safety of their operations. This report from independent research firm Verdantix provides executives with an up-to-date analysis of 27 prominent APM solutions on the market. Register now to download your free copy.


Presentamos Aspen Event Analytics™

Los comportamientos desconocidos e inesperados del proceso que provocan perturbaciones en las operaciones de producción pueden provocar una pérdida de calidad, rendimiento y rentabilidad. Con Aspen Event Analytics ™, los operadores y los ingenieros de procesos pueden comprender rápidamente los eventos operativos inesperados, por lo que pueden tomar medidas tempranas para estabilizar el proceso. Descubra cómo Aspen Event Analytics acelera y simplifica el proceso de investigación de problemas cotidianos, lo que garantiza una toma de decisiones rápida y precisa, minimiza el impacto en la productividad y previene las interrupciones del proceso.


Introducing Aspen Event Analytics™

Unknown, unexpected process behaviors that cause manufacturing disruptions can lead to a loss in quality, yield, and profitability. With Aspen Event Analytics™, operators and process engineers can rapidly understand unexpected operational events, so they can take early action to stabilize the process. Learn how Aspen Event Analytics accelerates and simplifies the process of investigating everyday issues— assuring fast, accurate decision making, minimizing impact on productivity, and preventing process disruptions.


Introduction to Aspen Event Analytics™

Each hour spent tracking down information related to production events is an hour taken away from making improvements to your business. In this video, watch how Aspen Event Analytics™ enables operators and front line process and production engineers to quickly and easily analyze the causes behind production events.

The Self-Optimizing Plant

In today’s VUCA environment, organizations are turning to digitalization and industrial AI to develop autonomous and semi-autonomous processes that enable new levels of safety, sustainability and profitability. Learn how self-optimizing plants will enable companies to: empower next-generation workers to focus on the highest-value activities; improve safety and reliability with IoT predictive maintenance software; reduce downtime of plant operations by optimizing assets and equipment lifecycle; and achieve sustainability goals with reduced energy use and emission control.

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