With dynamic market conditions, tight profit margins and stringent emission targets, process industries are facing a dual challenge of achieving ambitious sustainability goals while meeting growth targets. Companies must chart a course to rapidly overcome these challenges in a volatile market.

During this free webinar, Michael Reifer, leader of Momentive’s Sales, Inventory and Operations Planning (SIOP) Center of Excellence, and Aaron Hunt, SCM senior technical manager, will discuss how the company’s silicone and quartz business units excel at detailed scheduling and finite capacity optimization in both manufacturing and stock transfer scheduling. Additionally, they will share how Momentive’s SIOP Center of Excellence plays a key role in supporting sustainable talent and process development.

Las innovaciones en IA industrial ahora permiten la descarbonización de los principales procesos químicos y de refinación, mejoran la eficiencia energética y del agua, reducen las emisiones de gases de efecto invernadero e impulsan la captura y el almacenamiento de carbono. Descubra cómo estas tecnologías digitales y aplicaciones pueden apoyarlo a alcanzar más rápido sus objetivos de sustentabilidad a través de la simulación de procesos, la optimización de servicios públicos, el control avanzado de procesos, el mantenimiento predictivo, la optimización de la planificación de la producción y la gestión de la cadena de suministro.

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?

The ability of bio-pharmaceutical manufacturers to deliver quality drug products during challenging market conditions is critical for ensuring sustainability over the long run. The COVID-19 pandemic underscored the need to transform the traditional bio-pharmaceutical supply chain to have greater agility and resiliency during market swings and periods of volatility.

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.

If faced with inhomogeneous blends, manufacturers lose money and valuable time. Not to mention the possible risks of reblends and regulatory citations.

By leveraging an automated digital flow of information, business functions can drive increased collaboration, accelerating the delivery of large capital projects. Join this webinar to learn how Aspen Enterprise Insights™ can improve capital project execution by helping you:

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.

状況の変化やリソースの制約の中で企業が効率の向上を目指す中、APCの新たな進歩により業務が劇的に合理化されます。新しくリリースされたaspenONE®V12は、組み込みAIと並列コンピューティングを備えており、経験の浅いユーザーでもより高速なシードモデル(Seed model)とより正確な推論を生成できます。