For industrial organizations, IoT sensors can offer unprecedented insight into what's happening inside vats, pipelines and manufacturing processes. Insights such as temperature, flow rates and chemical composition can be measured against infinite variables, and even captured and analyzed in real-time to discover new opportunities…and potential problems.

Recently AspenTech and the ARC Advisory Group conducted a study on the circular economy among industrial manufacturers. Early results indicate that complex supply chains and proven technologies are the most significant barriers to achieving circular economy goals with 75% of respondents believing digital capabilities are essential.

Aspen Refinery Multi-Blend Optimizer is a multi-blend optimization tool that can be used for seamless scheduling and optimization of product blending.

GSK wanted to review the structure of its batch production record and associated workflows as part of a continuous improvement process. AspenTech was selected for this process due to integration with other solutions, such as Aspen InfoPlus.21® and GSK’s existing plant automation software (DCS). The pilot project was a resounding success, reducing order preparation time by 95% and record review time by over 50%. Read this case study to learn more.

Plant Engineering_Improving asset criticality with better decision

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.