• Journal of Navigation and Port Research
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• v.30 no.3 s.109
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• pp.211-217
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• 2006

In recent years, the pileup of world ports is deepening as time goes by due to China effect and continuous increase of world trade volume. The shipping companies try to reduce their shipping cost by using mega vessels in the ports. Shipping companies consider most of the ships turnaround time as a critical factor when selecting a calling port for reducing cost. This paper will suggest how we can guarantee terminal QoS like ship waiting time ratio and ship residing time applying RFID(Radio Frequence IDentification) technology, raising up rapidly as a fundamental solution of new growing industry to port information system. Also, lead time of whole port logistics can be decreased for reduction of loading & discharging time and result from productivity improvement of Twin-lift G/C(Gantry Crane} as applying RFID technology to terminal operation. The purpose of this paper suggests that the new business model of U-Port which port QoS can be guaranteed using RFID based RTLS technology.

• Journal of Navigation and Port Research
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• v.42 no.3
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• pp.207-216
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• 2018

If empty containers from multiple shipping liners are mixed together in the same bay, then the space utilization increases; however, the expected number of re-handles also increases. Formulas for estimating the expected number of re-handles are derived for various storage strategies and two types of handling equipment. The expected number of re-handles is compared, through numerical experiments, among those cases. The results of the numerical experiments are used to analyze the change in the number of expected re-handles according to the change in the retrieval ratio and repair ratio. The impacts of the change in the bay size and the distribution of the storage and retrieval ratio of containers among multiple vessel liners on the expected number of re-handles are analyzed. It is necessary to study efficient operational strategies considering the expected number of re-handles for empty containers.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.335-350
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• 2008

This paper analyzes the effects of port size on port tariff using the data for world major sixteen container ports. Some previous studies show that demand for port services have significant effects on port tariff, but we cannot find studies analyzing the correlation between the supply variables and the port tariff. In this paper, we used the five supply variables, which are the number of gantry crane, the number of berth, the quay length, the terminal area and the storage capacity for containers. The panel regression results are as follows. Port tariff generally decreases as port size increases, which shows that port tariff is explained by the economic theory. However, increase of port size, in some cases, does not reduce port tariffs, which may be due to monopolistic characteristics of port. This paper also shows that both demand and supply factors affect port tariff, but that demand factors have more consistent effect on port tariff than supply factors.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.43-60
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• 2010

The purpose of this paper is to show the clustering measurement way for Korean container terminals by using neural network based SOM(Self Organizing Map). Inputs[Number of Employee, Quay Length, Container Terminal Area, Number of Gantry Crane], and output[TEU] are used for 3 years(2002,2003, and 2004) for 8 Korean container terminals by applying both DEA and SOM models. Empirical main results are as follows: First, the result of DEA analysis shows the possibility for clustering among the terminals and reference terminals except Gamcheon and Gwangyang terminals because of the locational closeness. Second, the result of neural network based SOM clustering analysis shows the positive clustering in clustering positions 1, 2, 3, 4, and 5. Third, the results between SOM clustering and DEA clustering show the matching ratio about 67%. The main policy implication based on the findings of this study is that the port policy planner of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the clustering measurement way for the Korean container terminals using neural network based SOM with DEA models for clustering Korean ports and terminals.

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.63-87
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• 2010

The purpose of this paper is to measure the efficiency of Korean container terminals by using SFA(Stochastic Frontier Analysis). Inputs[Number of Employee, Quay Length, Container Terminal Area, Number of Gantry Crane], and output[TEU] are used for 3 years(2002,2003, and 2004) for 8 Korean container terminals by applying both SFA and DEA models. Empirical main results are as follows: First, Null hypothesis that technical inefficiency is not existed is rejected and in the trasnslog model, the estimate is significant. Second, time-series models show the significant results. Third, average technical efficiency of Korean container terminals are 73.49% in Cobb-Douglas model, and 79.04% in translog model. Fourth, to enhance the technical efficiency, Korean container terminals should increase the handling amount of TEUs. Fifth, both SFA and DEA models have the high Spearman ranking of correlation coefficients(84.45%). The main policy implication based on the findings of this study is that the manager of port investment and management of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the SFA with DEA models for measuring the efficiency of Korean ports and terminals.