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.

The pandemic heightened the need for agility and resiliency within the supply chain. Speed to market remains a top business imperative as we move into the next normal for pharma.

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

Equipment failures, process disruptions and the resulting unplanned downtime are costing industrial manufacturers an estimated $50B USD every year. With prescriptive maintenance, companies can recognize precise patterns in operating data, predict asset failure and recommend corrective action.

Forbes - Companies Improve Their Supply Chains With Artificial Intelligence

Move away from a traditional preventative or a “just in case” maintenance program to a predictive and prescriptive program that leverages AI and machine learning through digitalization, in line with the ISPE’s Pharma 4.0 initiative.