MedCity News_a call to action for pharma manufacturers

For reliability engineers, Failure Modes and Effects Analysis (FMEA) is a step-by-step process for identifying and tracking the various ways an asset or equipment can fail. But despite its merits, FMEA is labor intensive, typically used only for critical equipment and does not sufficiently use data to improve its capability.

2022 IoT Evolution Industrial IoT Product of the Year Award

In a volatile, changing world, companies must rethink how they will compete and stay ahead. Advancements in AI and process simulation combined with deep domain expertise empower companies to do things faster, easier and smarter than ever before. View this video to learn how Aspen Hybrid Models integrate first principles-based process simulation models, AI and domain expertise to deliver comprehensive, accurate models more quickly without requiring significant expertise.

No longer just a catch phrase, digital transformation in pharma manufacturing is more critical today than ever before — and the industry is getting on board. A recent study conducted by Axendia revealed that almost half of industry professionals surveyed are working for organizations that are actively undergoing digital transformation — a significant increase over the last two years. And the most cited reason to act? The need to make more data-driven, intelligent decisions. 

Huge increases in demand mean pulp and paper manufacturers require that their equipment run more efficiently and for longer spans of time, without the need for constant maintenance oversight.

It’s more crucial than ever to ensure high asset availability with fewer production losses. AI-powered predictive maintenance solutions help by providing early and accurate warnings of potential failures.

Veracel is an agro-industrial enterprise with an annual production of 1.1 million tons of Kraft cellulose. In 2020 they partnered with AspenTech to implement Aspen Mtell on their critical assets to improve their asset availability and utilization, reduce production losses, and decrease maintenance costs. Implementing Aspen Mtell has also allowed them to increase the collaboration between reliability, maintenance, and operations teams. Watch this video to find out how Veracel is increasing production while achieving its sustainability goals.

Working with AWS, Aspen Mtell delivers the earliest, most accurate warning of equipment failures.

As one of Europe’s most complex refineries, Heide Refinery looked to optimize its entire middle distillate system to maximize product quality and reduce giveaway. Given recent market volatility, Heide planned to further improve its operational agility to respond faster to changing conditions.