To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

Cierre la brecha entre la planeación y la operación actual con Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT alinea los objetivos de planeación y programación de forma dinámica para optimizar y coordinar múltiples unidades de proceso en tiempo real y asegurar los mejores resultados económicos en todo el sitio de manera consistente y minuto a minuto.

This article (published in PTQ Magazine) describes how the on-line coordination and optimisation of refinery process units led to a 10% increase in middle distillate production without investing in process units or equipment.

借助Aspen通用动态优化技术（General Dynamic Optimization Technology）缩小计划与实际运营之间的差距。Aspen GDOTTM 通过实时动态优化和协调多台工艺装置调整计划和调度目标，以确保始终实现惠及全厂的最佳经济效益。

“We have been able to generate a lot of value at our plants: minimizing changeovers, reducing inventory because of a better sequence plan, and gaining better visibility” – William Duty, Director of Momentive’s Supply Chain Center of Excellence

Aspen Mtell uses predictive maintenance technology to deliver the earliest, most accurate warning of equipment failures—enabling companies to increase safety, improve asset performance, and reduce emissions.

In this article, AspenTech's Paige Marie Morse delves into how digital-transformation technologies can help industrial organizations cut energy costs while reducing environmental impact. Download now to discover how AI and machine-learning technology combined can enable companies to predict asset malfunctions well in advance and have positive financial and sustainable results.

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.

Aspen Mtell은 머신 러닝 기술을 활용하여 실제로 문제가 발생하기 전에 성능 저하와 임박한 고장을 나타내는 운전 데이터 내의 정확한 패턴을 인식합니다..

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.