On Demand Webinar
Make Hydrogen a Viable, Practical Energy Solution with Digitalization
As the hydrogen economy continues to gain momentum, organizations are looking for faster, more efficient ways to design and deploy hydrogen projects. Growing pressure to meet sustainability targets is only increasing the demand to make these initiatives both viable and profitable.
The Self-Optimizing Plant
In today’s VUCA environment, organizations are turning to digitalization and industrial AI to develop autonomous and semi-autonomous processes that enable new levels of safety, sustainability and profitability. Learn how self-optimizing plants will enable companies to: empower next-generation workers to focus on the highest-value activities; improve safety and reliability with IoT predictive maintenance software; reduce downtime of plant operations by optimizing assets and equipment lifecycle; and achieve sustainability goals with reduced energy use and emission control.
Industrial AI from AspenTech
Transform how your organization works with AI embedded into AspenTech solutions. Gain insights, automate processes and improve operational efficiencies with built-in AI and domain expertise.
Mitsubishi Chemical Uses Aspen Hybrid Models to Detect and Avoid Product Quality Issues
Mitsubishi Chemical Group Corporation, Japan’s largest chemical company, faced quality problems in the company's polymer manufacturing processes that could not be detected on time, resulting in impacts to production. Using Aspen Hybrid Models with Aspen Plus®, Mitsubishi Chemical Group Corporation had the opportunity to create a robust and performant model that accurately predicted quality issues and supported preventive actions.
Page 1 of 32