Youfang Huang
Shanghai Maritime University

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A Knowledge-based System for Berth Allocation in a Container Terminal Junliang He; Youfang Huang; Daofang Chang; Weimin Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Both of berth allocation and quay crane assignment are one of the most complex parts in container terminal operations, which significantly affect the operational efficiency, energy consumption and operational cost of the entire container terminal. Therefore, it is necessary to develop an efficient strategy for integrated berth allocation and quay crane assignment (BACP) from the perspective of knowledge, which aims at energy-saving and improving operational efficiency. In this paper, knowledge acquisition for BACP is initially conducted. And then, knowledge sorting process for BACP, including taxonomic tree generation and organization of acquired knowledge, is performed. After that, rules for BACP are extracted using the IF and THEN clause. Furthermore, a knowledge reasoning mechanism is designed. Finally, numerical experiments are used to illustrate the proposed knowledge-based system and verify the effectiveness and reliability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2452
Yard Bay Allocation Method for Twin 40ft Container Terminal-Oriented Daofang Chang; Youfang Huang; Wei Yan; Yu Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The efficiency of container handling has got greatimprovement with the usage of the 40ft quay crane and the twin 40ft yardcrane.Reasonable bay planning strategies is necessary to reach the high handing efficiency by the twin 40ft yard crane. This paper studies both bay planning and row planning for yard bay allocation. The models of bay planning and row planning are created, and the discrete particle swarm optimization algorithm is used to obtain the optimum solution of the models. Finally, the numerical experiments show that the proposed approach can solve the yard bay allocation effectively. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3428