Blog

Aspen Multi-Case Supports Better, Faster Modeling

If you’re a design engineer in the Engineering, Procurement and Construction (EPC) sector, a high-performance design tool will save you time and boost the bottom line.

Blog

Increase EBIT via Manufacturing Network Optimization

Optimization models that consider a wide variety of manufacturing and business complexities can help chemical companies increase profitability and return on assets.

Blog

Improve Your Continuous Casting Process with Prescriptive Analytics

Prevent expensive and time-consuming clean-ups and turnarounds on continuous casting with machine learning.

Blog

Asset Optimization Solutions Available in the Cloud

AspenTech partners with leading technology providers to accelerate industrial adoption of cloud services for performance engineering and petroleum supply chain product suites.

Blog

Improve Passenger Rail Reliability and Cut Maintenance Costs

Make run-to-failure an outdated asset maintenance method with prescriptive analytics and machine learning.

Blog

IIoT Platforms Are Today's Data Warehouses

Realistically, isn’t the IIoT platform today’s incarnation of the data warehouse? Be wary of taking on an IIoT project without a clear business need.

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How to Ensure Process Consistency for the Best Customer Outcomes

New approaches enabled by advanced technology are helping specialty chemicals producers achieve significant quality improvements and drive value for their customers. Find out what the best practices are!

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Upstream Digitalization and The Mature Asset

Technology such as virtual sensors and online models can help operators optimize returns from their older assets.

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To Stay Ahead of Equipment Problems, You Need Anomaly and Failure Detection

The first in a series of posts on key factors to consider in selecting asset performance management solutions.

Blog

As EPCs Brace for Impact of COVID-19, Digital Transformation Becomes Critical

Engineering firms could soon be entering a challenging period, making it more important than ever to capture productivity increases from digitalizing design and engineering workflows.

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