RAMSYS is a single modular software platform that uses decision support engines and prediction modelling for short to long-term planning of railway infrastructure maintenance & renewal (M&R) works.
Railway-specific algorithms and configurable rules allow accurately assess the current asset conditions and predict their future behaviour. RAMSYS enables scenarios comparison to ensure safety and quality at minimum life cycle cost.
In fact, RAMSYS allows infrastructure managers and train operators to better manage, monitor and control maintenance operations, resources and equipment while optimising service level outcomes and capital and maintenance expenditure.
Core Functionalities
RAMSYS validate, analyze and correlate volumes of current and historic data (measurements data, maintenance activities data, asset type’s data...) to effectively plan maintenance, maximize infrastructure availability, ensure on-time reliability, and guarantee the highest level of safety.
ANALYZE: Manage condition data in a secure and efficient manner. By adopting a single product platform for data storage, data verification and processing, railways can reduce at a minimum level time and operators effort required between measurement and information distribution.
PREDICT: Apply condition-based life-cycle degradation models to accurately predict the future condition and service levels of every asset. By applying service-based life-cycle degradation curves at specific asset, asset type or asset class level, RAMSYS is able to accurately forecast the health of the entire railway network, and monitor the effects of maintenance and treatments applied.