Abstract
Stochastic Petri nets (SPNs) with general firing time distri- butions are considered. The generally timed transitions can have general execution policies: the preemption policy may be preemptive repeat different (prd) or preemptive resume (prs) and the firing time distribution can be marking-independent or marking-dependent through constant scaling factors. A stationary analysis method covering all possible combinations is presented by means of supplementary variables. The method is implemented in a prototype tool based on Mathematica. An example illustrates the analysis method and the use of the tool.KeywordsTime DistributionGeneral TransitionSupplementary VariableContinuous Time Markov ChainDiscrete Time Markov ChainThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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