engleski

Petri net modelling and optimization of container terminal using automated guided vehicles

We study a modelling and traffic control optimization problem of the automated guided vehicle (AGV) system in a container terminal. The authors present a formal mathematical technique to calculate deadlock prevention control places (supervisor) which must be added to the net. We are using Hybrid Petri net and P-time MRF1 class of Petri nets. By changing the parameters of resources, such as the loading time or segment capacity, an attempt was made to determine the conditions under which the transportation system performs optimally.

AGV system ; deadlock prevention ; hybrid Petri nets ; optimization ; performance evaluation

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