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. An example is discussed in which the analysis of the GSPN model yields results that are more reliable than those obtained with a currently used method based on queueing networks. Detailed GSPN models are shown that allow accurate analyses of the effects that different scheduling policies and pallet mixes have on system performance.

Generalized Stochastic Petri Nets for the Performance Evaluation of FMS

BALBO, Gianfranco;FRANCESCHINIS, Giuliana;
1987

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. An example is discussed in which the analysis of the GSPN model yields results that are more reliable than those obtained with a currently used method based on queueing networks. Detailed GSPN models are shown that allow accurate analyses of the effects that different scheduling policies and pallet mixes have on system performance.
International Conference on Robotics and Automation
Raleigh, North Carolina, USA
April 1987
International Conference on Robotics and Automation
IEEE Computer Society Press
1013
1018
9780818607875
Petri nets; Generalized Stochastic Petri Nets; Flexible Manufacturing Systems; Scheduling policies; Performance evaluation
G. Balbo; G. Chiola; G. Franceschinis; G. Molinar Roet
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/26327
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