DocumentCode :
704461
Title :
Dual cycle mode scheduling of internal transfer in container terminals using a Genetic Algorithm
Author :
Elnaggar, Ghada ; Abouelseoud, Yasmine ; Fors, M. Nashat
Author_Institution :
Dept., Alexandria Univ., Alexandria, Egypt
fYear :
2015
fDate :
3-5 March 2015
Firstpage :
1
Lastpage :
7
Abstract :
The use of standardized containers in cargo transportation has gained undoubted worldwide importance during the last four decades. At a container terminal, containers are transferred between vessels and container yard blocks by different types of transporters. Improving transporter utilization can lead to improving terminal throughput and operational efficiency. This is why dual-cycle transfer mode is applied. In dual-cycle transfer mode, transporters operate in a pool serving several cranes in alternative modes of loading or discharging. Although empty travel distance can be reduced, it is difficult to apply dual-cycle transfer mode at manned container terminals. Grouping of transporters can combine ease of use and dual-cycle transfer mode, where transporters in the same group operate in a pool. In this paper, a Multi-Layer Genetic Algorithm (MLGA) is developed to first construct groups of transporters, and then schedule transporters in the same pool in a dual cycle mode of transfer. The decision aims to decrease the makespan of discharging and loading of containers.
Keywords :
genetic algorithms; scheduling; sea ports; transportation; MLGA; cargo transportation; container terminals; container yard blocks; decrease container discharging makespan; decrease container loading makespan; dual cycle mode scheduling; dual-cycle transfer mode; internal transfer; multilayer genetic algorithm; operational efficiency improvement; terminal throughput and improvement; transporter utilization improvement; Biological cells; Containers; Cranes; Genetic algorithms; Loading; Marine vehicles; Vehicles; Container handling operations; dual cycle mode; genetic algorithm (GA); vehicle scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4799-6064-4
Type :
conf
DOI :
10.1109/IEOM.2015.7093831
Filename :
7093831
Link To Document :
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