A leading global producer of catalyst solutions and specialty chemicals faced a significant challenge as a result of light impurities causing product quality issues in its downstream production units. By implementing Aspen ProMV, the company witnessed a rapid time to value, with analysis and modeling completed in a fraction of the time required by competing solutions.

Are you struggling to extract meaningful insights from your industrial data using traditional PLS (Partial Least Squares) modeling techniques? It's a common challenge—despite scrutinizing scores, loadings and statistical parameters, achieving satisfactory model performance remains elusive.

Contrary to popular opinion, the journey to improve asset performance does not need be an ordered, strict, logical set of steps. Rather, it is about knowing the right issues to solve at your site and doing so with technologies that complement your assets.

Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

A recent study conducted by ARC Advisory Group analyzed how leading manufacturing companies are leveraging artificial intelligence (AI) and machine learning tools to improve asset performance. While condition-based maintenance is most prevalent, the study found that leaders have successfully built AI capabilities to enhance asset performance practices through in-house platforms, commercial solutions and a combination of both.

Uncontrolled flare emissions are a costly economic and environmental risk for energy and chemicals companies. During this webinar, learn how Braskem Process Engineers investigated losses in a downstream column and used Aspen ProMV to quickly resolve the problem — saving >$1M a year in losses to flare.

Unexpected disturbances and shutdowns can severely impact any manufacturing facility. The AspenTech APM 4.0 portfolio uses agents that can be replicated quickly and easily across all plant assets to assure production and avoid unnecessary maintenance. Learn how APM 4.0 delivers an all-inclusive approach to efficiency, productivity and safety to support operational excellence in plant operations and the bottom line for manufacturers.

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Register today for the premier global event (April 29–May 3 in Houston, TX) for AspenTech customers, including users, operational leaders and executives within asset-intensive industries who are looking to elevate their business performance, improve their resiliency and meet their sustainability targets.

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to implement prescriptive maintenance solution, companies can improve the accuracy of failure detection, increase the advance notification period of asset downtime events and reduce maintenance spend.