Evaluation of high level Petri nets by means of aggregation and decomposition

We introduce a new method combining the powerful stochastic well formed Petri net (SWN) model with the decomposition approach initiated by B. Plateau (1985). We derive necessary conditions on the modeled systems that allow for the two methods to be combined. For parallel systems satisfying these necessary conditions we develop two models with corresponding algorithms. The first model, which forbids color synchronization between components of the system yields to a strict generalization of each of the two methods. The second model which covers a large range of real life systems needs theoretical study which we have undertaken. An example shows the intuitive ideas behind these developments.