说明：  提出了一种基于广义随即petri网的自动制造系统的性能评估实用模型并用来仿真
(Generalized stochastic Petri net (GSPN) modules are used as basic building blocks to model and analyze complex manufacturing ystems. This modular approach facilitates an easy model construction and helps manage the complexity of modeling large manufacturing ystems. The structural analysis ensures that the model is live and bounded, which guarantees that the equivalent Markov chain (MC) will be ergodic. The temporal analysis is used to derive performance mea- ures such as average production rates and average in-process invento- ies. The main advantage of Petri nets (PN!ˉs) overMC!ˉs is that the number of places and transitions only increases slightly as the manufac- uring system complexity increases, whereas the number of states in the )