DocumentCode :
694236
Title :
Minimizing port staying time for container terminal with position based handling time
Author :
Ma, H.L. ; Chan, Felix T. S. ; Chung, Samuel H. ; Niu, Ben
Author_Institution :
Dept. of Ind. & Syst. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
1339
Lastpage :
1343
Abstract :
Nowadays, maritime transport operations have become even busier. Due to the limited physical facilities, some vessels will be transferred to other terminals for services. Transferring vessels may reduce the waiting time, however, this induces extra transshipment cost, bad reputation, and potential customer loss. To consider such practical issues, a bi-objective Berth Allocation Problem (BAP) model is proposed. Moreover, vessel priority is another practical concern. In literature, they are divided into two streams, i) customer importance; and ii) handling volume. They give vessel priority by considering only one single factor, but both factors are important. The objective of this paper is to propose a Genetic Algorithm (GA) to minimize port staying time and transfer rate with the consideration of vessel priority. The results show that the proposed approach is able to obtain solutions with good performance in all the factors.
Keywords :
genetic algorithms; minimisation; sea ports; BAP model; biobjective berth allocation problem; customer importance; genetic algorithm; maritime transport operation; port staying time minimization; position based handling time; vessel priority; volume handling; Biological cells; Containers; Cranes; Genetic algorithms; Mathematical model; Profitability; Resource management; Berth Allocation Problem; Genetic Algorithm; vessel priority;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
Conference_Location :
Bangkok
Type :
conf
DOI :
10.1109/IEEM.2013.6962628
Filename :
6962628
Link To Document :
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