• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.10a
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• pp.51-58
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• 1998

This study is to define the Automated Container Terminal(ACT) and container terminal system. Also, we analyze the present condition of the container terminal system in Pusan port and its automation level by systems approach. And this paper aims at evaluating on the priority of R&D investment until the beginning of the second stage of New Pusan Port Project(2006). In this process we have considered 8 factors (cost, labor, area, time volume, reliability, safety, convenience) to analyze 6 subsystems. The priority order of R&D until target year by sub-systems is as follow : Cargo Handling System〉Transfer System〉Port Entry System〉Storage System(Distribution&Manufacturing System included)〉Inland Transport System〉Port Information System.

• Journal of the Korean Institute of Navigation
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• v.23 no.1
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• pp.75-84
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• 1999

Although many studies on modelling of port competitive situation have been conducted, both theoretical frame and methodology are still very weak. In this study, therefore, a new algorithm called ESD (Extensional System Dynamics) for the evaluation of port competition was presented, and applied to simulate port systems in northeast asia. The detailed objectives of this paper are to develop Unit fort Model by using SD(System Dynamics) method; to develop Competitive Port Model by ESD method; to perform sensitivity analysis by altering parameters, and to propose port development strategies. For these the algorithm for the evaluation of part's competition was developed in two steps. Firstly, SD method was adopted to develop the Unit Port models, and secondly HFP(Hierarchical Fuzzy Process) method was introduced to expand previous SD method. The proposed models were then developed and applied to the five ports - Pusan, Kobe, Yokohama, Kaoshiung, Keelung - with real data on each ports, and several findings were derived. Firstly, the extraction of factors for Unit Port was accomplished by consultation of experts such as research worker, professor, research fellows related to harbor, and expert group, and finally, five factor groups - location, facility, service, cargo volumes, and port charge - were obtained. Secondly, system's structure consisting of feedback loop was found easily by location of representative and detailed factors on keyword network of STGB map. Using these keyword network, feedback loop was found. Thirdly, for the target year of 2003, the simulation for Pusan port revealed that liner's number would be increased from 829 ships to 1,450 ships and container cargo volumes increased from 4.56 million TEU to 7.74 million TEU. It also revealed that because of increased liners and container cargo volumes, length of berth should be expanded from 2,162m to 4,729m. This berth expansion was resulted in the decrease of congested ship's number from 97 to 11. It was also found that port's charge had a fluctuation. Results of simulation for Kobe, Yokohama, Kaoshiung, Keelung in northeast asia were also acquired. Finally, the inter port competition models developed by ESB method were used to simulate container cargo volumes for Pusan port. The results revealed that under competitive situation container cargo volume was smaller than non-competitive situation, which means Pusan port is lack of competitive power to other ports. Developed models in this study were then applied to estimate change of container cargo volumes in competitive relation by altering several parameters. And, the results were found to be very helpful for port mangers who are in charge of planning of port development.

• Proceedings of the Korean Geotechical Society Conference
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• 1999.11b
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• pp.3-11
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• 1999

It has been said from previous studies that the preconsolidation pressure (p$\sub$c/)of Nangton Rive. deposit is considerably less than the in situ effective burden pressure (p'$\sub$$\upsilon$ο/). Question has risen whether this small pc vale is due to under consolidation or unsuitable laboratory test including low small quality. As a cooperative research program between PHRI (Port and Harbor Research Institute) and Pusan National University, an extensive soil investigation was carried out at a site of Yangsan, Pusan, using the Japanese sampler. It Is found that although p$\sub$c/ value at the site is slightly greater than p'$\sub$$\upsilon$ο/, its over consolidation ratio (OCR) is quite small compared with aged normally consolidated clay in Japan.

• Korea Trade Review
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• v.44 no.6
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• pp.267-283
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• 2019

This study analyzes how the port connectivity network has changed with the restructuring of the liner shipping alliance and explores the impact of these changes on network characteristics using social network analysis (SNA). While due to economies of scale, the scale of ports and liner shipping has expanded, the goal of shipping companies has changed to achieve cost-effectiveness due to the diseconomies of scale. Such changes in the environment have greatly affected ports according to the strategies of major liner alliances, and port centrality has shifted in response to restructuring in strategic alliances. This research confirmed that port centrality has continuously changed, and the reason for this phenomenon was analyzed through the derived main network centrality indices. This finding provides significant implications for port authorities and terminal operators to consider different perspectives when planning for sustainable growth and management.

• Journal of Korean Port Research
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• v.11 no.2
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• pp.157-172
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• 1997

To develop the port productivity and effictiveness, the introduction of the On Dock Operating System in Pusan Container Terminals has to be considered and the present Off Dock CY be closed step by step. This work aims to evaluate the needed CY area in Pusan Port under the On Dock Operating System. This researching flow is as follows. Firstly, estimate total sea-borne container cargo volumes in Korea and distribute them to all container terminals according to the past trends and the planned port development. Secondly, estimate the average period and the average tiers stored at On Dock CY in case of On Dock Operating System. Thirdly caculate the needed CY Area to handle the distributed container cargo volume under the On Dock Operating System. Finally, the following results are obtained. (1) In 1998, opening the Gamman Terminal, 827 thousands cubic meters are insufficient. (2) In $2001\sim2004$, the insufficiency of needed CY Area will be maximized and estimated to be 936 thousands cubic meters in 2001. (3) In $2005\sim2011$, opening the Gadu Terminal, the insufficiency of needed CY Area will be decreased and estimated to be 240 thousands cubic meters in 2011.