CONTAINER TERMINAL PLANNING BY PETRI-NET AND GENETIC ALGORITHMS (CROSBI ID 544102)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gudelj, Anita ; Krčum, Maja ; Čišić, Dragan
engleski
CONTAINER TERMINAL PLANNING BY PETRI-NET AND GENETIC ALGORITHMS
Large ports need to deal with a number of disparate activities: the movement of ships, containers and other cargo, the loading and unloading of ships and containers, customs activities. The explosive growth in the freight volumes has put a lot of pressure on seaport authorities to find better ways of doing daily operations in order to improve the performance and to cope with containers processing at container terminals. Advanced technologies, and in particular automated guided vehicle systems (AGVs) are now become popular mode of container transport in seaport terminals. These unnamed vehicles are used in terminal operations for transfer containers between ships and storage location on lend. The optimization of the vessel turn around (time spent in port) is paramount to a port’ s performance and competitive advantage. Faster discharge and loading of containers and increased productivity through faster turnaround of containers through the container terminal systems (CTS) are the primary goals. The automatic planning of the operations of a container terminal (CT) via market-based allocation of resources may greatly benefit the container terminal in satisfying its objectives and meeting its goals. These problems are solved using techniques from optimization like Genetic Algorithm (GA) or PETRI-NET.
genetic algorithm; PETRI-NET; conteiner terminal
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Podaci o prilogu
2006.
objavljeno
Podaci o matičnoj publikaciji
10th International Conference on Traffic Science
Podaci o skupu
TRANSPORTATION AND GLOBALIZATION
predavanje
06.12.2006-07.12.2006
Portorož, Slovenija