Find near-misses hidden inside process data
Product Exclusive: Near-Miss Management’s Dynamic Risk Analyzer software discovers near-misses hidden within process data, helping to improve process performance and avert operational issues before they’re noticeable.
Based on a groundbreaking technology, the Dynamic Risk Analyzer (DRA) software from Near-Miss Management makes hidden risks visible at their formation stage—to help improve process performance and avert operational issues even before they become noticeable.
Near-Miss Management’s Dynamic Risk Analyzer is enterprise process risk management software, designed for plant personnel to assess the risk level of a plant’s operations on demand or periodically. It is based on patent-pending methodologies that make use of all process (online sensor) measurements along with alarm data. The data is received automatically and processed rapidly to extract crucial risk information that serves as leading indicators of potential performance issues, such as shutdowns, accidents, incidents, and operational problems. Importantly, to alert to risk levels that change over time, DRA provides information dynamically (daily, weekly, monthly), increasing the capacity of operations team to identify hidden process risks before they become visible or threatening.
Equipped with advanced drill-down capabilities and an intuitive user interface, DRA allows the user to find the sources and nature of the risk—at the lowest data levels—to deploy the right resources in a timely manner, to plan maintenance activities efficiently, and to head off potential problems before they impact the bottom line.
The unique “data-centric near-miss” framework from Near-Miss Management and the dynamic approach of DRA empower operations teams to discover risks at their formation stages. With its actionable indicators and associated transparency, DRA ultimately will transform how process risk is managed within a plant.
- Edited by Mark T. Hoske, content manager, CFE Media, Control Engineering, Plant Engineering, and Consulting-Specifying Engineer, email@example.com.