A class of Petri nets in which transitions can fire either immediately or after an exponentially distributed random time since their enabling (GSPN) is used to define performance models for Flexible Manufacturing Systems. Several examples are discussed to show the representation power of GSPNs. Detailed GSPN models are shown that allow accurate analyses of the effect that different scheduling policies and pallets mixes have on system performance.
Modelling Flexible Manufacturing Systems with Generalized Stochastic Petri Nets
BALBO, Gianfranco;FRANCESCHINIS, Giuliana
1989-01-01
Abstract
A class of Petri nets in which transitions can fire either immediately or after an exponentially distributed random time since their enabling (GSPN) is used to define performance models for Flexible Manufacturing Systems. Several examples are discussed to show the representation power of GSPNs. Detailed GSPN models are shown that allow accurate analyses of the effect that different scheduling policies and pallets mixes have on system performance.
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