Report
ARC View: AspenTech Aims to Optimize Asset Performance in Industrial Process Plants
Disruptive technologies such as artificial intelligence and machine learning are driving new asset optimization opportunities across the process industries. In this new report, ARC Advisory Group analyst Peter Reynolds describes how AspenTech is enabling greater asset performance by putting these important tools in the hands of people who actually design, operate, and maintain plants. Learn how AspenTech is changing the industry paradigm by focusing on industry-specific IIoT applications that deliver the most value.
Article
AspenONE MES Software Converts Data into Value for Operational Excellence
LOTTE Advanced Materials was looking for a tool that would convert data into value to drive operational excellence. In this ARC Advisory Group article, read how LOTTE chose AspenTech’s aspenONE Manufacturing Execution Systems (MES) software to transform digitally, and build a robust data analytics platform. Now, LOTTE is able to lock in a visionary software implementation roadmap to optimize business processes and operations.
Article
Case Study - Optimization of Refinery Middle Distillate System
This article appeared in the 2018 American Fuel & Petrochemical Manufacturers (AFPM) Conference Daily (Oct 2018) that highlighted the Operational Planning, Control and Automation Technologies session during which Chevron talked about the closed-loop, real-time coordination of a refinery middle distillate system, the benefits and key takeaways.
White Paper
Ramp up Reliability With Low-Touch Machine Learning for Hyper Compressor Monitoring
When hyper compressors fail, the cost of production losses can range from tens of thousands to millions of dollars per occurrence. In this white paper, learn how companies are using Aspen Mtell to recognize the early indications of hyper compressor failure, reducing unplanned downtime and catching problems earlier—allowing more lead time to take appropriate action.
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