This is a review paper on decomposition and aggregation for stochastic Petri nets．This paper gives a brief review of the methodologies considered in the literature．These techniques include the time scale decomposition，the near-independent decomposi-tion，the response time preservation，the flow equivalent aggregation，the hierarchical modeling and the product-form solution．A few directions of research are discussed at the end of the paper to outline the open problems that still need to be solved in this area．