Models of discrete event dynamic systems

Many new techniques for modeling discrete event dynamic systems have been developed in recent years; among them are Markov processes and their imbedded Markov chains, Petri nets, queueing networks, Automata and finite-state machines, finitely recursive processes, min-max algebra models, and discrete event simulation and generalized semi-Markov processes. In this article, the authors demonstrate the main features of these models by applying them to a simple example, and they briefly compare the features of these models.