La Transformación Digital busca el uso de tecnología para ayudarlo a lograr sus metas: Minimizar errores, maximizar producción, mejorar calidad de producto y servicio al cliente. La integración Vertical de tecnologías – también conocida como “Smart Manufacturing” o Industria 4.0 – sincroniza sistemas comerciales, como ordenes de producción del ERP, con sistemas de manufactura como los DCS, balanzas o lectores de códigos de barras. Este webinar le mostrará cómo puede reducir los errores de calidad del producto, los tiempos de ciclo de lotes y los costos operativos.

Manual data transfer is tedious and inefficient, so why is it still a part of your safety analysis workflow? Now available, a Safety Analysis Environment – integrated within your process simulation file – enables you to better size relief devices and document the analysis. This technical webinar will build your knowledge through a series of demonstrations, showcasing how to improve the safety analysis workflows for both FEED and revalidation projects.

LNG facilities are typically constrained by refrigeration capacity which is affected by many factors, predominantly ambient conditions. Due to the highly interactive nature of the liquefaction process and small feasible operating envelope, consistently maximizing production poses a challenge for LNG operators. Join Andrew Taylor, Principal Advanced Process Control (APC) Consultant at Greenfern Dynamics, for this on-demand webinar to learn about typical benefit areas and mechanisms associated with APC.

This on-demand webinar focuses on how the Aspen ProMV™ operational analytics suite provided a time-efficient and cost-effective solution for ADM in solving their most critical manufacturing process challenges by quickly learning from their process data.

Boost your productivity and keep projects on track with new features including equipment, model, safety, and sensitivity analysis tools; data tables; and an export feature to Aspen Simulation Workbook (ASW). Need help navigating the new user interface? Let us help. Watch this webinar where we'll show you how the new user interface makes using Aspen HYSYS easier than ever before.

Accurately predicting the performance of complex, integrated facilities has been an ongoing challenge for capital-intensive industries. However, new innovations in digital technology are helping companies dramatically reduce costs, improve performance and increase revenues. Join industry leaders Covestro and Wood as they share their experiences with reliability modeling software at sites around the world. Hear about their challenges and successes in simulating a range of design and operational scenarios to drive smarter decision making across the organization.

화학 산업은 제조 운전 과정에서 엄청난 양의 공정 데이터가 실시간으로 생성됩니다. 이 데이터는 많은 정보를 담고 있으며, 공정 모델링을 함께 적용하는 경우, 보다 나은 운전 의사 결정을 내릴 수 있는 통찰력을 제공할 수 있습니다. 이 웨비나를 통해 증류탑 성능 향상 방안을 비롯하여 첨단 기술을 통해 업스트림 비즈니스 발전을 지원하는 아스펜테크의 비전에 대해 알아보십시오.

Refining and petrochemicals producers face increased pressure to maximize margins while improving safety and sustainability. In this on-demand webinar, learn how Pan American Energy implemented a predictive maintenance solution powered by artificial intelligence to predict critical equipment failures – giving time back to production and reducing operational risk.

Optimizing the operations of the integrated unit comprised of the crude distillation column and the crude preheat train has been a challenge for most refineries, given the difficulty in analyzing the unit as a whole. However, with the ‘equation-oriented’ solver technology in Aspen HYSYS, refineries can build a robust integrated model of their crude distillation column and pre-heat train network. Learn how to employ these advanced capabilities and improve your CDU operations today.

Leading companies rely on a powerful integrated platform to manage the entire lifecycle of their Advanced Process Control (APC) applications. Download this on-demand webinar and learn how ExxonMobil used key Aspen DMC3 Builder capabilities to improve APC performance, increase production and reduce energy consumption.