Blog

Molecules, Electrons, and Moonshots: Opening Day at CERAWeek

CERAWeek is back, live and in full force for its 40th anniversary. As usual, the conference started with an impressive lineup of heads of state and multinational corporations.

On-Demand Webinar

Managing Asset Health by Combining Behavior Patterns with FMEA

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.

Case Study

Corteva Uses Hybrid Models for More Accurate Predictions and Improved Maintenance

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.

News Article

Universiti Malaysia Pahang and Aspen Technology to Build an Ecosystem of Knowledge Sharing

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

Interview with an Expert

Navigating Pharma Scheduling Challenges During Periods of Volatility and Supply Chain Disruptions

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.

Case Study

GSK Creates a Future-Ready Supply Chain with Predictive and Prescriptive Maintenance

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

Interactive Infographic

4 Steps to Optimize Outcomes Across Your Pharma Value Chain Network

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.

On-Demand Webinar

How to Digitalize Monthly S&OP and IBP Processes on One SaaS Platform

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

News Article

2022 AI Predictions from AspenTech

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

e-book

A Prescription for Greater Asset Reliability: Four Customer Stories of Prescriptive Maintenance Delivered

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.

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