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.

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.

For chemical and petrochemical producers, reducing emissions and minimizing disruptions to process requires analyzing and monitoring vast amounts of disparate process data. Learn how Petrocuyo, Braskem Idesa and other leading companies are gaining insight into variability issues and improving overall process efficiency.

Today´s executives are faced with the complex challenge of maximizing profitability while meeting sustainability goals. Using APM 4.0 to identify efficiencies across the organization can drive operational excellence, which can lead to significant advancement of sustainability objectives.

Process industries like bulk chemicals, specialty chemicals and pharmaceuticals strive to optimize production processes with existing resources and data to remain competitive and profitable. By implementing product and process quality analytics solutions like Aspen ProMV® and Aspen Process Pulse™, manufacturers can achieve operational and financial benefits while also improving fouling, product yield and overall plant efficiency. Watch this video to find out how leading chemical and pharmaceutical companies have saved up to 25% in costs and increased yield by up to 2%.

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

Early returns from an ARC Advisory Group survey indicate that optimizing plant operations performance and eliminating process upsets are considered a critical component of asset performance management (APM) systems.