Visualizing generalized semi-Markov processes

Authors:
Lee W. Schruben;Eric L. Savage
Affiliations:
School of Operations Research and Industrial Engineering, Cornell University, Ithaca, New York;School of Operations Research and Industrial Engineering, Cornell University, Ithaca, New York
Venue:
WSC '96 Proceedings of the 28th conference on Winter simulation
Year:
1996

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Abstract

Generalized Semi-Markov Processes (GSMPs) are usually described by sets of variables, events and clock distributions. This kind of representation often lacks intuitive appeal. In this paper we propose a mapping from GSMPs to Event Graph Models. This mapping allows us to use an event graph to visualize a GSMP model as an intermediate step to implemcniation. By examining the event graph model, we can perform logic checking and verification more easily than if we try to interpret the GSMP description.