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.

Aprenda cómo YPFB Andina aumentó su producción de gas utilizando una solución de modelo integrado que proporcionó un aumento en las ganancias por $ 280 millones en 1 año.

China HuanQiu Contracting and Engineering Corporation Implements Aspen Technology Software

The success of an APC program is measured in many ways, but the overall success is integral to achieving operational excellence. For example, an APC program should safely capture benefits during testing, capture all the potential benefits with aggressive full scope controllers, and create an APC culture and organization. Download this white paper to learn more about these concepts, as well as several others, which are key to a successful APC program.

Aspen Technology Provides Additional Details Relating to Filing of Form 12b-25 for Annual Report

Download this article featured in EPC World, to learn how digital transformation is pushing EPC firms to tap into Industry 4.0 principles to automate their workflows, reduce engineering man-hours and collaborate globally.

Download this article featured in engineering.com to learn how the partnership between AspenTech and Hexagon PPM will bring value to customers who are digitizing their engineering workflows.

Una de las empresas más grandes a nivel mundial para productos químicos, plásticos y de refinación utilizó Aspen ProMV para entender y resolver sus problemas de producción causado por un problema de alta viscosidad en el aceite de enfriamiento. En este caso de estudio conozca cómo Aspen ProMV permitió a la empresa a destacar las principales variables de proceso que están altamente correlacionadas con problemas de viscosidad y que guio rápidamente a los ingenieros de proceso al problema subyacente para limitar las pérdidas.

One of the world's largest chemical, plastic and refining companies used Aspen ProMV to understand and resolve production problems caused by an ongoing quench oil high-viscosity issue. In this case study, learn how Aspen ProMV enabled the company to highlight the top process variables highly correlated with viscosity issues, and quickly guided process engineers to the underlying issue to limit losses.

Lea cómo Aspen Mtell predijo una falla en el compresor con 35 días de anticipación, permitiendo que la empresa de energía evitara una parada de emergencia y cumpliera con las metas de producción. Minimizó las pérdidas de producción planificando la parada de la planta: ahorro potencial de 30 millones de dólares