Learn how Qenos, an Austrailian ethylene manufacturer, used Aspen DMC3 to revamp a demethaniser controller with very limited resources and achieved a 5-10% increase in cold end throughput, a 40% reduction in variability in overhead methane, and a 20% reduction in tower dP.

Descargue este caso de estudio para conocer cómo una refinería en el Reino Unido utilizó Aspen GDOT para incrementar su producción de destilados medios en un 10%. La tecnología de lazo cerrado se ajusta automáticamente a múltiples unidades de proceso con base en condiciones cambiantes para mantener la consistencia del producto y mejorar el desempeño global de la refinería. Descubra cómo puede hacer que sus operaciones sean más rentables al utilizar Aspen GDOT.

Saiba como um grande produtor químico europeu implementou o aspenONE Supply Chain Management, integrado ao sistema SAP ERP, e conseguiu reduzir os inventários em 20%, alcançar 97% nas entregas “on-time” e reduzir o número de transições de campanha em 20%.

The PSV sizing capabilities in Aspen HYSYS have helped HGA achieve approximately 50% time savings on the entire overpressure protection workflow.

Conozca cómo una importante fábrica química europea implementó aspenONE Supply Chain Management y la integró con su sistema ERP de SAP pudiendo así reducir sus inventarios en un 20%, alcanzar un 97% de precisión para entregas a tiempo y reducir el número de transiciones de campaña en un 20%.

Aspen Mtell provided a nine-day advance warning of imminent kiln overheating, allowing the plant to change operating conditions and avoid an operational shutdown. Download this case study to learn more.

Linde Engineering reduced estimating variability from 60% to 15% by adopting ACCE. They reduced their total number of estimating tools from 25 to 6.  They have integrated ACCE with 3D modeling to track project costs through detailed design and construction effectively.

Learn why this world-class specialty chemical producer turned to manufacturing execution systems (MES) solutions from AspenTech to improve manufacturing efficiency and increase annual production.

In order to meet their design need of maintaining a 25% cost advantage over conventional chemical processes, the engineers at Liquid Light needed a flexible software solution to find key property data (even for non-ideal and electrolyte systems), conduct “what-if” and case analyses, model reaction systems, select solvents, and scale-up quickly and reliably. Leveraging Aspen Plus and Aspen Properties, the members of Liquid Light have been able to make meaningful predictions about system behavior, moving them closer to full scale production.

日本に本社を置き、創業から140年の歴史を誇るグローバル製薬会社がAspen Plusを導入して新規原薬（API）の合成を改善しました。同社は、創薬に重点を置きながら医薬品や医療機器の研究開発から製造、販売まで行っています。