Abstract:
A state model engine according to one embodiment is configured to dynamically determine Reliability, Availability, and Maintainability data in a lithographic processing system. The engine evaluates whether state changes occur in defined state models, based on transition events published by other state models.
Abstract:
A method of scheduling one or more maintenance actions in at least a part of a substrate processing system is provided. According to an embodiment, the method includes determining a gap in the flow of substrates in a part of the substrate processing system and scheduling one or more maintenance actions to be performed in another part of the substrate processing during a period associated with the gap. An increase of productivity of substrate processing can be achieved through a reduction in downtime in a substrate processing system by appropriate scheduling of maintenance actions.