OpenRxM is initiative to discuss and write about “Prescriptive Maintenance” (RxM), to develop a common understanding on RxM, how one can create value out of it and how RxM can be established in the field.
Thesis 1: “Prescriptive Maintenance” (RxM) is an element in a smart blend of other maintenance strategies, while this blend is routed to failure-modes on system (equipment or model) level. If a method like a “Reliability Centered Maintenance” (RCM) approach, can be the origin for that blend and (initial) source for maintenance tasks based on failure-modes, then the prescription to a failure-mode, that is likely to happen, is already specified ready be configured into a work order.
Thesis 2: Artificial Intelligence (AI) does well join in e.g. when it comes to reverse-engineering of failure-modes and may well propose condition- or prediction-based proposals of actions to be executed within maintenance task on a much more dynamic level, than current maintenance approaches may provide in operation.
Thesis 3: Maintenance is managed on failure-mode level; RxM will provide smarter portions or bandwith of action to be executed within a specific, failure-mode related maintenance task.
Starting point will be EN 13306 to identify, what already has been defined up to Predictive Maintenance in a widespread standard.
Thoughts will be periodically reflected on the OpenRxM blog.
U. Gehrig (October 8th, 2019)