Asset and plant failures often occur without clear warning, leading to unexpected equipment damage. Traditional rule-based systems can miss subtle anomalies that precede failures. By leveraging statistical models based on historical data, plants can detect minute changes in equipment behavior, providing early warning signs of potential failures.

Process bottlenecks can significantly limit plant throughput, reducing overall efficiency and ROI. Whether a plant never reached full capacity or has seen a decline in production, identifying the root cause is essential. By leveraging thermodynamic models, plants can pinpoint bottlenecks and explore solutions such as adding equipment or increasing power to optimize throughput.

Plant operators should be fully trained to ensure smooth operations and high-quality outputs. However, inadequate training often leaves them unprepared for abnormal conditions, leading to poor performance and unnecessary downtime.

Reduce Unnecessary Plant Trips. Optimize process trip limits by addressing common issues like misconfigured control loops, incorrect trip settings, or under-designed systems. Advanced tools and diagnostics ensure safer, more reliable operations.

Arion is proud to be recognized as a 2024 Aggie 100 recipient, celebrating our rapid growth and leadership by Texas A&M alumni. This prestigious award highlights our commitment to excellence, integrity, and the Aggie values that guide our success.

Arion has been named one of Houston Business Journal's Best Places to Work for the sixth consecutive year. Since 2018, Arion's employee-driven culture has fostered innovation, teamwork, and leadership trust, empowering its team members, or 'A-Teamers,' to thrive. Discover how Arion continues to build a workplace focused on people, performance, and growth.