Abstract

An overview of new results on the temporal analysis of GERT networks is given. The methods for evaluating GERT networks presented in this paper are based upon the fact that stochastic processes can be assigned to GERT networks. For special GERT networks, very effective evaluation methods can be found by exploiting some results from the theory of the corresponding stochastic processes. In comparison with the method of simulation, this approach has two advantages: it provides more insight into the structure of the GERT networks in question, and it yields evaluation methods which require less computational effort.

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