Braskem is the largest petrochemical company in Latin America, the leading producer of polypropylene in the United States, and the eighth-largest resin producer worldwide. Braskem used Adaptive Process Control within Aspen DMC3 to deploy controllers in just two weeks to start accruing benefits immediately. The benefits included lowered energy usage by 20%, increased production rates and reduced process variability. Download this case study today to learn more about the benefits Braskem realized by using Aspen DMC3 and discover how to achieve these benefits at your organization.

Cierre la brecha entre la planificación y las operaciones reales con Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT alinea la planificación y la programación al optimizar dinámicamente y coordinar múltiples unidades de procesos en tiempo real para garantizar los mejores resultados económicos a nivel sitio de manera consistente y de minuto en minuto. ¡Descargue este brochure para descubrir cómo las empresas están minimizando el regalo de calidad de producto, aumentando la producción, mejorando el rendimiento y mucho más!

Learn how one of world’s largest multinational energy companies used Aspen GDOT to maximize production of specific diesel and jet fuel products at one of its refineries. By using real-time optimization across multiple APC units, the refinery was able to decrease sulfur giveaway by 70%. Download this case study to learn how you can optimize production and reduce product giveaway.

Learn how Borealis, a leading provider of innovative solutions in the fields of polyolefins, base chemicals and fertilizers, implemented Aspen PIMS-AO to support the optimization team and bring about better decision-making for more profitable results. This case study explores how Borealis achieved dramatically faster run time, employed nonlinear modeling, deployed planning models to a centralized, virtual environment, and eased software deployment time and maintenance with more efficient use of hardware.

Aspen Petroleum Supply Chain Planner, manages the assets and economics of the petroleum distribution network to optimize performance.

Learn how S&B reduces estimating man-hours by between 50-80% depending on project stage through use of ACCE on all bids and estimates.

Descubra cómo Aspen Mtell utiliza machine learning para reconocer patrones precisos en los datos operativos que indican degradación y fallas inminentes, mucho antes de que suceda.

Find out how Owens Corning went live concurrently across 14 manufacturing locations with Aspen Plant Scheduler in less than 12 weeks, and enabled schedulers to make decisions that were impossible to make just a few years earlier.

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

Pan Pacific Technologies was seeking a rigorous approach to validate the technical and economic feasibility of its proprietary algal conversion concepts. Through innovative use of Aspen Plus and Aspen Process Economic Analyzer, they developed successful technical and economic models with applications in both academia and industry.