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This report proposes to use generalized stochastic Petri nets (GSPN) in reliability, maintainability, and availability studies. The novelty of this modeling approach lies on the ground of the following distinctive reasons: (1) The GSPN offers a precise description of system activities and conditions while involves less complexity, comparing to other modeling techniques. Specifically, it is an inherently effective bookkeeping for conditions and activities; (2) it provides a clairvoyant insight of the key parameters that effect RMA analysis. Causes and results of events can be easily tracked by executing the GSPN; and (3) it takes the advantage of the existence of concurrency and timing of events, thus describes accurately the sequence of events.