New Verdantix research of 40 industrial leaders shows that safety, cost, and performance trade-offs are driven by uncertainty, not necessity. Download the paper to see how Structural Performance Management closes the gap.
In this exclusive white paper, you’ll learn:
A survey of 40 industrial decision-makers
Verdantix conducted this study on behalf of Akselos, interviewing operations, engineering, and executive leaders at oil and gas (refining, offshore, LNG) and chemicals (fertilizer) companies with revenues exceeding $1 billion.
72% of firms have regular or near real-time visibility into static equipment condition. Only 17% say that data consistently translates into clear, actionable feedback for day-to-day decisions.
75% of firms rank equipment availability and reliability as a top-three priority, but cost, performance, and safety goals sit with different teams. That makes trade-offs harder to resolve when a single decision touches all three.
Just 15% of firms say throughput changes and operating intensity are accounted for well in capital planning. 40% still rely on a mix of insight and conservative assumptions for repair, replace, and life-extension decisions.
57% of firms are already exploring or piloting physics-based AI. But 80% say linking AI outputs to real operational decisions is a very significant hurdle, and 61% cite unclear ROI as a top challenge.
WHITE PAPER
Discover why physics-based AI is becoming essential for ME industrial leaders extending asset life and operating with confidence.
EXPLORE NOWWHITE PAPER
Learn why tradition APM falls short in real-time structural integrity and how SPM bridges the gap with physics-based real-time monitoring.
SUCCESS STORY
Learn how Akselos SPM Software was pivotal in optimizing delayed coker units for Pan American Energy at their Campana refinery.
