Input / Manage high Volumes of data from any source
With lots of data coming from numerous and often very different sources (diagnostic systems, past and present work history, costs, inventories, etc.), it's easy to become overwhelmed and miss important aspects due to data that is rarely integrated.
With its centralized data storage and analysis, RAMSYS is designed to provide your maintenance staff with all the tools needed to quickly and efficiently analyze terabytes of data.
Output / Work Order Priority Lists
Thanks to its highly flexible structure RAMSYS can be adapted to the exact needs of your maintenance program, incorporating the specific experience already obtained on your infrastructure.
The information allows RAMSYS to intelligently and automatically produce work order lists based on M&R priority, highlighting the need for maintenance activities exactly where they are needed, when they are needed.
While it's flexible enough to follow your own M&R maintenance philosophies it also allows your maintenance program to be well within governing body guidelines.
Output / Budgeting
Taking into account work history, the cost of assets, level of defects, and even scenario simulation, RAMSYS can produce budgets based on actual and verifiable information, which can help you decide where to invest your resources.
Output / Condition Forecasting
RAMSYS's ability to substitute all existing measuring/monitoring software makes analysis, data correlation and defect finding and trending much easier for your maintenance engineers.
On top of that RAMSYS is equipped with highly powerful deterioration models that are flexible and universal, helping you to forecast the future behaviour and condition of your assets.
Output / What-If Analysis
The what-if analysis engine allows your maintenance team to simulate various scenarios in the future, as the consequence of the asset's forecasted behaviour and expected/simulated M&R strategy.
This lets you test to find the perfect balance between M&R activities, their costs, and the resulting quality, availability and reliability of the assets.
