Hydrogen is an essential yet often limited resource for refiners, with demand increasing due to processing of renewable feedstocks. In addition, hydrogen production is very expensive, particularly with the recent rise in natural gas prices and the significant, costly CO2 emissions it generates. Now more than ever before, refiners need an effective way to manage the hydrogen supply-and-demand balance.

As it relates to asset reliability, Failure Modes and Effect Analysis (FMEA) is a process to identify potential failures in a system as well as their causes and effects. By combining predictive maintenance technology with FMEA tools, companies can associate causation with known failures and their suggested FMEA remedies – leading to earlier intervention, minimized equipment damage, fewer process interruptions and improved production yields.

In this case study, learn how Corteva Agriscience, an American agricultural chemical and seed company, resolved their frequent reboiler shutdowns by using Aspen Hybrid Models™. By combining plant data and AI within an Aspen Plus® model, Corteva improved the heat transfer and duty predictions to provide guidance for a better maintenance strategy.

Disruptive Tech Asia Universiti Malaysia Pahang and Aspen Technology to Build an Ecosystem of Knowledge Sharing Digital transformation digital process and capital-intensive industry

In this interview, Cade VanRooyen describes the complex decisions master schedulers face and how digital scheduling solutions can significantly improve the consistent on-time delivery of life-saving medicines.

GlaxoSmithKline (GSK) implemented Aspen Mtell® to increase the robustness of their pharma supply chains by preventing unplanned production downtime.

Learn how to gain new insights into supply chain data with industrial AI.

Bangkok Post 2022 AI predictions from AspenTech Generational workforce changes will accelerate knowledge automation Industrial data scientists emerge to facilitate industrial AI strategy AI investments shift from generic models to more precise industrial AI Executive ownership and cultural change will accelerate industrial AI deployments

Forbes - Companies Improve Their Supply Chains With Artificial Intelligence

Feche a lacuna entre planejamento e operações reais com a Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ alinha os objetivos de planejamento e programação, otimizando e coordenando dinamicamente várias unidades de processos em tempo real para garantir os melhores resultados econômicos em toda a unidade de forma consistente minuto a minuto. Baixe a brochura para descobrir como as empresas estão minimizando as perdas de produção, aumentando a produtividade, melhorando os rendimentos e muito mais!