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.

The priorities of industrial manufacturers are changing. While minimizing asset downtime and maximizing production and quality remain important, sustainability and operational initiatives are becoming intricate parts of a company’s strategic objectives. Increasingly, they are relying on asset performance management (APM) software to meet the challenges of volatile market demands and supply chain disruptions and optimize overall asset performance.

请您观看资产绩效管理网络专题研讨会回放。了解AI，机器学习技术以及可靠性分析在流程工业中的应用，以及大数据技术可以为流程工业带来什么样的影响，从案例中获得了解如何利用最新的技术实现本企业的效益提升的机会。 最近数年中，新型的数字化技术和产品琳琅满目，对于不同技术之间的区别和其能够带来的效果，企业往往会陷入选择的难题。在本次研讨会中，您将更多的了解不同技术的应用范围，以为您的决策做好基础。