Pregled bibliografske jedinice broj: 374475
CONTAINER TERMINAL PLANNING BY PETRI-NET AND CONTAINER TERMINAL PLANNING BY PETRI-NET AND GENETIC ALGORITHMS
CONTAINER TERMINAL PLANNING BY PETRI-NET AND CONTAINER TERMINAL PLANNING BY PETRI-NET AND GENETIC ALGORITHMS // 10th International Conference on Traffic Science
Portorož, Slovenija, 2006. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
CONTAINER TERMINAL PLANNING BY PETRI-NET AND CONTAINER TERMINAL PLANNING BY PETRI-NET AND GENETIC ALGORITHMS
(CONTAINER TERMINAL PLANNING BY PETRI-NET AND GENETIC ALGORITHMS)
Autori
Gudelj, Anita ; Krčum, Maja ; Čišić, Dragan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
10th International Conference on Traffic Science
/ - , 2006
Skup
TRANSPORTATION AND GLOBALIZATION
Mjesto i datum
Portorož, Slovenija, 06.12.2006. - 07.12.2006
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genetic algorithm; PETRI-NET; conteiner terminal
Sažetak
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.
Izvorni jezik
Engleski