During the webinar, Indian refining company, Bharat Petroleum Corporation Limited (BPCL) shared how they gained up to $0.5/bbl of crude by deploying real-time digital twins to optimize its CDU operations with Aspen HYSYS and BPMARRK, BPCL’s patented technology for real-time crude assaying.

领先的资产密集型公司正在使用人工智能和机器学习支持的规范性维护，以释放资产中未被捕获的价值和生产力。使用可扩展、易于实施的规定性维护解决方案，公司可以提高故障检测的准确性，延长资产停机事件的提前通知期，并减少维护开支。

Las empresas líderes en uso intensivo de activos están utilizando el mantenimiento prescriptivo, impulsado por inteligencia artificial y machine learning, para desbloquear el valor y la productividad que se encuentran sin utilizar en los activos. Al emplear una solución de mantenimiento prescriptivo escalable y fácil de implementar, las empresas pueden mejorar la precisión de la detección de fallas, aumentar el período de notificación anticipada de los paros de planta y reducir los costos de mantenimiento.

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MassTLC-AspenTech Turns 40 Digitalization Levels the Sustainability and Profitability Playing Field

BBJ-MIT-spinout AspenTech reaches 11B deal to merge with industrial software company

Learn how Saras' Sardeolica used Aspen Maestro for Mtell to predict wind turbine equipment degradation up to 180 days in advance.

Bloomberg-Baystate Business-Economic Headwinds Radio

Emerson Plans to Merge Industrial-Software Businesses With AspenTech

The COVID-19 pandemic highlighted the need for agility and resiliency within the supply chain for pharmaceutical companies. It is clear that speed to market will remain a top business imperative as we move into the next normal for pharma.