Emerson, AspenTech teams up to deliver asset optimisation

Emerson and AspenTech announced that they have teamed up to deliver asset optimisation software solutions along with global automation technologies and operational consulting services. Together both the companies expect to enable their customers optimise production and drive operational excellence.

Emerson’s global footprint, automation engineering services and software, extensive large-scale project execution and consulting capabilities complement AspenTech’s technology footprint. Collectively, these capabilities can be deployed as solutions in both conventional and cloud-based architectures.

“Emerson and AspenTech are both highly focused on digital technologies and services that deliver measurable improvements and value to our customers’ bottom line,” said Dave Farr, chairman & CEO of Emerson. “Together, we are well positioned to help our customers navigate the best path in this era of digital transformation and achieve Top Quartile performance.” Top Quartile is defined as achieving operations and capital performance in the top 25 percent of peer companies.

The alliance will initially focus on three key areas: engineering software, including high-fidelity simulation to help validate project design and train operators before start-up; manufacturing and supply chain software, including advanced process control software designed for highly complex operations; and asset performance management software to improve plant reliability.

“Working with Emerson, we will help more organizations drive higher total shareholder returns with a relentless focus on operational excellence. We look forward to helping make the best companies even better by optimizing the design, operation and maintenance lifecycle with software and insight to run assets faster, safer, longer and greener.” said Antonio Pietri, president and CEO of AspenTech.

Together, the two companies will provide holistic optimization strategies that rely on real-time data, advanced analytics enabled by machine learning, and rich process knowledge to bring measurable business improvements in production, as well as in the areas of reliability, safety and energy management.

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