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Applying generalized stochastic Petri nets to manufacturing systems containing nonexponential transition functions

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2 Author(s)
Watson, J.F., III ; Rensselaer Polytech. Inst., Troy, NY, USA ; Desrochers, A.A.

Although generalized stochastic Petri nets (GSPNs) are restricted to only immediate and exponential transitions, they are used for performance analysis of a variety of systems. Flexible manufacturing systems (FMSs) typically contain nonexponential state transitions. GSPN models developed for FMSs present a concern that the above restriction limits the accuracy of performance results. Throughput subnets and s-transitions are introduced. These GSPN constructs allow nonexponential state transitions in a system to be accurately modeled within a GSPN. A GSPN performance model for an FMS example is developed using s-transitions. This system had been previously analyzed using probability theory. Performance analysis results are compared

Published in:

Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on

Date of Conference:

9-11 Apr 1991