Brochure

Aspen GDOT™

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.

Case Study

Energy Company Drives Innovation in Predictive Maintenance via Digital Transformation Program

When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 large assets in a refinery, the company began testing the technology at a wind farm and had five early successes in predicting gear box failures.

Brochure

Aspen GDOT™ 供烯烃厂使用

使用Aspen Generic Dynamic Optimization Technology(GDOT)缩小计划与实际操作之间的差距。艾斯本 Aspen GDOT 通过实时动态优化和协调多个工艺装置来协调计划和调度目标,以确保现场范围内的最佳经济效果,一致且以分钟为单位。下载本手册,了解公司如何提高吞吐量,提高产量等。

Case Study

Cabot Streamlines and Standardizes Scheduling, Greatly Improving Visibility

Learn how specialty chemical manufacturer’s Carbon Black business implements Aspen Plant Scheduler at more than 20 plants worldwide to close the gap between planning and execution.

Brochure

Aspen GDOT™ para refinerías

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!

Case Study

Two Looming Failures Stopped Within Two Weeks of Monitoring

Executives at this mining company were looking for a new approach to proactively handle reliability issues for critical equipment.

Case Study

Braskem Implements Aspen DMC3 to Deploy Controllers in Just Two Weeks and Immediately Accrues Benefits

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.

Brochure

Aspen GDOT™ para Productores de Olefinas

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!

Case Study

Refinery Optimizes Middle Distillate System in Real Time with Aspen GDOT™

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.

Case Study

Borealis Achieves Faster Run Times and Better Quality Planning Solutions with Aspen PIMS-AO™

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.

Page 6 of 221