ARC Advisory Group: How Industry Leaders Maximize Profitability with APM
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.
Many leading companies are successfully using APM solutions—including machine learning or AI—for rotating equipment and static assets, with 27% of those also applying AI to optimize the process or production.
Watch ARC Advisory Group Analyst Peter Reynolds in this webinar to hear the results of this study and get answers to these questions:
- What value or return do companies see from various site-wide APM approaches?
- How is APM enabling predictive maintenance and what assets are covered?
- How are asset owners deciding on internal custom data science solutions versus commercial AI solutions?
The webinar also includes case study examples of companies maximizing profitability with APM.
Related Content
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.
Executive Brief:
Advancing Profitability and Sustainability with APM 4.0
Interactive Infographic:
Achieve a Win-Win: Drive Operational Excellence and Advance Sustainability Efforts
Video:
Veracel’s Journey to AI-Powered Maintenance: How Aspen Mtell® Improves Asset Availability, Increases Production