Supply Chain Dive - RFID sensor data just the beginning of the connected supply chain

In this session from OPTIMIZE™ 21, learn how how Polymer Digital Twin models built by Equinox Software and Services Pvt. Ltd. (EQNX) helped build capabilities at a Greenfield Polymer manufacturing facility. The Digital Twin Process models using Aspen Plus® were deployed prior to the plant commissioning, helping the Operations team to quickly build capabilities for Polymer manufacturing enabling agility, collaboration and profitability from the first day of operations of the integrated refinery, petrochemical and polymer complex.

Aspen Technology Announces Karen Golz as Newly Appointed Audit Committee Chair

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!

Explore the benefits of Activated Datasheets running inside process simulation in Aspen HYSYS and Aspen Plus.

AspenTech is honored to receive the prestigious Federation of Indian Petroleum Industry (FIPI) 2021 Digital Technology Provider of the Year Award.

SABIC is a leading multinational manufacturing company, specializing in the manufacture of petrochemicals, chemicals, industrial polymers, fertilizers and metals. Energy efficiency is a key focus area for SABIC. To close the gap towards achieving 2025 goals, SABIC identified the need to quantify energy losses and execute actions to optimize operations while addressing daily plant challenges.

European refiners face a “dual challenge" – meeting the growing demand for resources and higher standards of living from a growing population while also addressing sustainability goals, reductions in carbon emissions and plastic waste in the environment. View this insightful conversation featuring industry leaders from Eni and MOL Group as they discuss both the challenges and opportunities in the transition to net zero by 2050.

Advanced process control (APC) applications require accurate inputs for stream qualities, including product compositions and distillation curve points. While online analyzers are effective in supporting model predictive controllers, they are expensive and often unavailable for important process streams. There is a more cost-effective approach for building virtual analyzers or inferentials to accurately estimate stream qualities and it starts with digital twins.

Over the past three years, the Alliance to End Plastic Waste has rallied over 90 member companies, allies and supporters who are committed to ending plastic waste in the environment and creating circularity. AspenTech is proud to be one of those members and to have the opportunity to work with some of the world’s leading companies to create and scale innovative solutions for this cause.