In the modern industry, in order to reduce the inventory pressure, a variety of parts began to use unified kind spare parts for maintenance. However, highly integrated equipment is more difficult to use traditional RCM models, and researchers begin to steering based on state monitoring methods. Deepen a prediction of equipment failure. This paper mainly discussed the data-driven analysis method based on the Wiener process to predict the fault law of the same type. The joint model innovatively adopts the (''s''-1, ''s'') policy considering the industrial characteristic and multi-period resupply. In the end, we analyze (''s''-1, ''s'') policy in joint optimization by comparison to draw the optimal policy combination.
Abstract In the modern industry, in order to reduce the inventory pressure, a variety of parts began to use unified kind spare parts for maintenance. However, highly integrated equipment [...]
Joint optimization of condition-based maintenance and inventory ordering based on status monitoring for multi-unit system 
