• Journal of Navigation and Port Research
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• v.35 no.7
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• pp.589-596
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• 2011

Terminal market has rapidly crashed and market rates have taken a sharp plunge. The substantial throughput decrease resulted from the world economic downturn has been a finishing blow to the terminal operators in Busan. Every terminal operator is taking cost saving as its first priority and accelerating structural reform and downsizing. Under the desperate situation, the need of effective cost analysis would be highly required to effectively control operation cost and to develop new services to satisfy the different needs of the customers. Furthermore, terminal operators could reduce unnecessary activities and concentrate their resource on the more cost-effective process through the operation cost analysis. In order to suggest a new framework of the cost control of container terminals, this paper seeks to analyze terminal costs based on ABC approach by processing actual data.

• Journal of Korean Port Research
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• v.13 no.2
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• pp.245-254
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• 1999

This paper aims to derive the strategies for the container terminal in Pusan. So it has focused on analyzing the current conditions of Pusan container terminal while evaluating the difficulties arising from the existing facilities/equipment and the operating system in the Pusan Korea Container Terminal through the workers at the container terminal and at off-dock CY. The object of this study is to assist the existing terminals to operate the facilities/equipment reasonably and to contribute shaping the ports policy which will be the basis of constructing new ports that will remain competitive while maintaining superiority over the ports in northeast area. According to the analysis 68% of the supplier answered that their terminal services which are the most important factor in running a terminal were superior to the other while only 28% of the user answered that they thought the current services were superior. For the areas of supplementing the terminal the people working at the terminal answered in the order of business operation equipment the number of berth service and management ability while the user answered in the order of service computer system transportation system and equipment. According to the regression analysis it became clear that there should be more effort toward improving or supplementing the facility scale facility usage charge transportation facilities which will assist in developing competitiveness of the terminal. It was also noted that management ability and business ability were mentioned as the important factors in operating a terminal.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.5
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• pp.520-526
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• 2009

Efficient stowage plan is required for handling large number of containers in a container terminal. Before a ship enters port, most of container terminals prepare a stowage plan based on information received from the shipping company. If this information does not have the accurate information of containers in the vessel, the stowage plan might be often changed or sometimes it becomes useless. In order to avoid this problem, we apply RFID system in the container ship and we propose a framework for communication between ships and terminals using RFID and Web Services technology.

• Journal of Navigation and Port Research
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• v.34 no.9
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• pp.719-726
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• 2010

As the competition among the container terminals in Korea has become increasingly fierce, every terminal is striving to increase its investments constantly and lower its operational costs in order to maintain the competitive edge and provide satisfactory services to terminal users. The unreasoning behavior, however, has induced that substantial waste and inefficiency exists in container terminal production. Therefore, it is of great importance for the terminal to know whether it has fully used its existing infrastructures and that output has been maximized given the input. From this perspective, data envelopment analysis (DEA) provides a more appropriate benchmark. This study applies three models of DEA to acquire a variety of analytical results about the operational efficiency to the Korean container terminals. According to efficiency value analysis, this study first finds the reason of inefficiency. It is followed by identification of the potential areas of improvement for inefficient terminals by applying slack variable method and giving the projection results. Finally, return to scale approach is used to assess whether each terminal is in a state of increasing, decreasing, or constant return to scale. The results of this study can provide terminal managers with insight into resource allocation and optimization of the operating performance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.153-154
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• 2020

It can be replaced with a smart work service centering on tasks that do not require on-site work among container terminal tasks. Here, the cloud service is helpful for small and medium-sized stevedoring companies as it reduces the cost and time required for initial system construction, and allows you to pay usage fees as needed. This study introduces a case study on the development of web services that comply with industry standards so that advanced ICT can be used in connection with the terminal operation system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.165-166
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• 2015

Due to the international economic downturn and the increasing competition, container terminals have been trying to achieve cost effectiveness and high service levels. Shipping companies want to get better services from container terminals but container terminals only have limited space and equipment. Frequently, too many external trucks come to the terminal at the same time, and create bottle necks at the terminals. Ouside the container terminals traffic jams occur as well. As a result, stakeholders need a vehicle booking system. By VBS, container terminals can plan efficiently in advance to avoid work delay and the truck drivers can finish their jobs quickly. This paper aims to search efficient models for the container terminals by using VBS.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.216-217
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• 2019

As the shipping market deteriorates, shipping companies seek to realize economies of scale by promoting the enlargement of container ships. Container terminal operators are increasingly adopting automated equipment and systems in order to quickly provide services and attract traffic. As such, the competition for each terminal to become a hub port is intensifying. Increased automation of advanced container terminals improves productivity and efficiency In the meantime, Korea remains semi-automated. Therefore, the relevant subject survey through SPSS 23.0 program for analysis of recognition difference, We will check the awareness among stakeholders for the smooth introduction.

• Journal of Navigation and Port Research
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• v.36 no.8
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• pp.673-681
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• 2012

As competition increases among ports, new marketing strategies and differentiated means in addition to the existing core services are needed to prevent existing container shipping companies from escaping and to attract new customers. The additional services and reward programs are investigated. How these variables affect relational commitment in terms of customer retention is examined. Customers of the container terminals are examined in terms of psychological behavior. This study presents the structural equation model that shows the connection among benefits, rewards, switching costs and relational commitment. The empirical analysis is done with the subject of the container terminal users and the implications are derived.

• Journal of Navigation and Port Research
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• v.40 no.1
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• pp.43-50
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• 2016

Amid of the logistics hub center competition is going to intensifying between the world major port, it is essential to pre-occupied the base in the logistics hub world take advantage of advanced technology of logistics equipment than other ports. In existing container terminal, when container moves the terminal use the omnidirectional and directional antenna in order to exchange data information on the basis of 802.11 wireless network system. Case of loading height of exceeding, the blind sport will occur and a limited frequency channel can't help using in the area. A limited frequency channel usage and nested areas happen to use the closed terminal, it has a great influence to operate the terminal working. In this paper, LTE network is configured provided by the specified company ('L' Corp,.Ltd) and terminal data extracted through LBO (Local Breakout) in the cell site which is configured directly with container terminal operation server. Using this method, container terminal yard equipment operate without overlapping arises with uninterrupted data presented for ways to efficiently. I would suggest both the existing wireless AP LAN configuration of container terminal and new LTE system and applied to the real yard operating devices situations. Through these methods presented comparative the existing network traffic with new constructed LTE configuration. I admired to suggest that wireless network LTE introduction is fundamental factors to get rid of the blind spot, the problem of limited frequency channel and overlapping arises. These essential points can be a continual improving terminal services and more efficient terminal operational management.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.344-350
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• 2022

Due to the increase in container cargo volume, the congestion of container terminals is increasing and the waiting time of gate in-out trucks has significantly lengthened at container yards and gates, resulting in severe inefficiency in gate in-out truck operations as well as port operations. To resolve this problem, the Busan Port Authority and terminal operator provide services such VBS, terminal congestion information, and expected operation processing time information. However, the visible effect remains insufficient, as it may differ from actual waiting time.. Thus, as basic data to resolve this problem, this study presents deep learning based average gate in-out truck waiting time prediction models, using container gate in-out information at Busan New Port. As a result of verifying the predictive rate through comparison with the actual average waiting time, it was confirmed that the proposed predictive models showed high predictive rate.