McKinsey Rail state: “The business case for condition monitoring and condition-based maintenance is a no-brainer: currently, hardly any repair-related work is done before a maintenance job takes place, and ~30% of the time trains spend in the workshop is taken up by manual failure diagnostics. Condition-based maintenance can lead to significant efficiency gains because diagnostics are conducted continuously in real time or via near-time analytics schemes while the train is in operation.
Maintenance workers know exactly which equipment and which spare parts to bring to which location in advance of (and in preparation for) the moment that the train is commissioned for maintenance. Thus, it is estimated that condition-based maintenance can reduce manual diagnostics by at least 60%. Furthermore, planned maintenance jobs require less time compared to unplanned jobs, as, for example, spare parts are readily available. Experts estimate, thus, that condition-based maintenance can lead to an overall reduction”