It is time to think beyond the unit process to asset optimization. Two press releases have come my way in the past couple of weeks from companies who are seeking to expand their product portfolios into ever broadening circles with the theme being adding emphasis on asset optimization.

This release is from Aspen Technology announcing general availability of aspenONE Version 10 software. “The latest Asset Performance Management, Engineering and Manufacturing & Supply Chain software release supports the company’s evolution from process optimization to asset optimization, the next frontier of optimization that makes the best companies even better by driving increased financial return over the entire asset lifecycle.”

If this sounds familiar, Schneider Electric’s Peter Martin has been writing and speaking on this for years. He’s an acknowledged industry visionary. I’ve worked with an industry organization MIMOSA also interested in organizing standards around asset lifecycle. Maybe we’ll begin getting a critical mass around the subject.

Where AspenTech tries to go beyond is to link in design with process and equipment. [Click on the “ad” in the right column of this Website for a white paper describing doing this with standards. We are getting there as an industry.] The aspenONE Version 10 software release includes aspenONE Asset Performance Management (APM).

The integrated suite of APM analytics provides prescriptive guidance to address multiple levels of asset performance:

  • Site-Wide Risk Analysis with Aspen Fidelis Reliability software helps identify asset availability and utilization risks through reliability modeling and simulation.
  • Process Analytics include Aspen Asset Analytics software to assess the root causes of process disruptions, predict future occurrences and prescribe actions to avoid them. Rapidly configured and deployed, prepackaged analytics for column troubleshooting use ensemble modeling to provide operational guidance. Included as well, Aspen ProMV software improves process reliability and asset uptime using advanced multivariate process analytics for continuous and batch monitoring.
  • Equipment Performance Analytics with Aspen Mtell software provides machine-learning analytics that predict when failures will occur, understand why they will occur and prescribe what to do to avoid the failure. aspenONE Engineering Suite Highlights The latest version of aspenONE Engineering software enables asset design optimization across capital, energy, controllability, environmental impact, safety and yield, empowering collaborative workflows that drive sustained profitability.
  • Specialty chemicals and pharmaceuticals companies are making significant investments to rapidly develop and deliver new products to market. Aspen Plus software in aspenONE Version 10 extends modeling from continuous to batch and semi-batch processes to help companies accelerate new product development and optimize production to compete more effectively.
  • Engineering, Procurement & Construction (EPC) companies need to accelerate projects and reduce risk to compete effectively. The new web-based Aspen Basic Engineering streamlines data integration in FEED preparation and improves collaboration across globally distributed teams.
  • Process plants are faced with frequent operational changes and risks to asset utilization. Faster calibration of model to plant data in Aspen Plus and Aspen HYSYS software for operations support reduces operating costs and increase yields.

aspenONE Manufacturing & Supply Chain Suite Highlights Building on the PIMS-AO engine, the new Aspen Unified PIMS features a modern web-based architecture with scalable high performance computing that enables better collaboration and improved insights into model performance.

The first of a family of Unified products envisioned to unify the production workflow from planning to scheduling and performance monitoring, Aspen Unified PIMS will initially be targeted at a specific set of customers identified by the company for the aspenONE Version 10 software release.

Share This

Follow this blog

Get a weekly email of all new posts.