Case Study: ARC Advisory Group achieves asset lifecycle optimization and improved uptime with Aspen Technology

AspenTech Aims to Optimize Asset Performance in Industrial Process Plants

ARC Advisory Group, reporting on industrial software trends, highlighted a common customer challenge: poor asset performance in process plants was preventing firms from fully realizing gains from process optimization and increasing profit margins. Aspen Technology responded to this need by positioning its asset lifecycle optimization offering—building on its long-standing strengths in process engineering simulation, advanced process control, and recent acquisitions (Mtell, ProMV, Fidelis, etc.)—to bring analytics and machine learning to bear on maintenance and operations.

Aspen Technology implemented an integrated solution that combines ML-driven analytics, process and equipment data convergence, and industry-specific APM applications, and is partnering with Emerson to scale deployment. According to ARC Advisory Group, the approach enables operators and maintenance teams to push equipment to safer, more profitable limits and improve uptime while making predictive analytics accessible to domain experts; ARC did not cite specific customer ROI figures, but notes the solution is explicitly aimed at closing gaps identified in industry data (e.g., the ~82% of failures deemed random and the current 3–5% rate of proactive maintenance).

ARC Advisory Group