• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.336-345
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• 2006

최근 컨테이너 선박의 대형화는 물동량을 크게 증가 시켰으며, 이로 인해 컨테이너 터미널에서는 규모의 경제를 달성하고, 선사의 요구를 만족시키기 위해 노력하고 있다. 이에 대한대안이 양현부두(Indented berth)의 등장이다. 양현부두에는 대형 컨테이너선의 물량을 신속히 처리하기 위해 선석에서 컨테이너를 취급하는 장비인 안벽크레인(Quay Crane : QC)의 작업 대수가 일반부두(Conventional berth)보다는 많이 할당될 수 있다. 본 연구에서는 일반부두와 양현부두의 작업 생산성을 비교하였다. 이를 위하여 탐색기법인 GRASP(Greedy Randomized Adaptive Search Procedure)를 적용한 안벽크레인 일정계획 알고리즘을 이용하였다. 또한 컨테이너 터미널의 실제 자료를 이용하여 두 가지 형태의 부두에서의 본선작업 완료시간을 비교 하였다.

• Journal of Navigation and Port Research
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• v.28 no.4
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• pp.285-291
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• 2004

The productivity of container terminal is determined by its various operation methods. This paper aims at finding out the factors to enhance the productivity of container handling of quay crane, using simulation technique. Three levels of decision making in terminal operation, strategy, and tactics and operation are selected for defining parameters of simulation The result of the simulation and test shows that the significant factors to improve the productivity are the stack height of container, block dispersion and the distance in yard planning for shipment. Decision making in the operation level, however, is of significance in the mixed condition of strategic and tactical level. The result shows meaningful guidelines in decision making under strategic, tactical and operation level.

• Journal of Korea Port Economic Association
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• v.22 no.1
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• pp.39-59
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• 2006

The purpose of this paper is to analyze the competitiveness between Busan New Port and Shanghai's New Yangshan Port, on an island 20 miles off the Chinese mainland coast. For this aim, the paper examines backgrounds of Yangshan Port construction and its related projects, namely, Donghai Bridge and Luchao Logistics Park including operation strategies of Yangshan New Deepwater Port. The main results of this paper are as follows: Busan New Port has competitive advantage over Yangshan Port in terms of ideal location, especially in Asia-North America route, and connection between terminal and hinterland logistics park. Because Busan New Port is operated by fully on-dock system. Nevertheless, Yangshan Port has more strength in its centrality, port tariff and port productivity, which are represented by crane productivity, quay productivity and area productivity. Therefore, Korean ports are recommended by transformation from cargo attraction-type to cargo generation-type port through early activation of port logistics center along with Free Economic Zone.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.152-157
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• 2002

본 연구에서는 컨테이너 터미널의 자동화 설비 중 안벽용 크레인(Quay Crane: QC)과 장치장용 크레인(Automated Transfer Crance: ATC)간의 컨테이너 이송을 담당하는 AGV(Automated Guided Vehicle)의 운영에 관한 시뮬레이션을 수행할 수 있는 전용의 시 뮬레이터를 개발하는데 목적은 두고 수행하였다. 자동화 컨테이너 터미널의 처리 능력은 선석의 QC 능력에 의해서 결정되지만, QC의 능력을 최적화하기 위해서는 컨테이너 터미널 내에서의 AGV의 운영 효율이 결정적인 역할을 한다. 또한 AGV의 운영 효율에는 장치장의 ATC 작업시간이 영향을 준다. 연구결과, AGV의 운영 효율 평가를 위한 시뮬레이터를 개발하였으며, 이를 이용하여 QC의 작업시간과 ATC의 작업시간에 따른 AGV의 적정대수를 산출하였다. 본 시뮬레이터는 실제 컨테이너 터미널의 운영 상대와 유사한 시뮬레이션을 수행할 수 있고, 컨데이니 터미널의 운영 능력을 산출하는데 적합하도록 개발되었다.

• Journal of Navigation and Port Research
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• v.33 no.2
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• pp.153-159
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• 2009

The awareness of the high-value industry for container terminal leads competitiveness of container terminals to keep high fiercely. In regards to competitive factors of container terminal, the most important point among several factors is seemed to be the speed of container loading and unloading on quayside. In container terminals in Korea, the productivity shows big difference even though its condition is similar to each terminal. The objective of this paper is to find the critical factors of container terminal productivity, which is dependant upon the capability, quantity of quay crane, transfer vehicle, and so on. For this purpose, we have researched related literatures, and collected data about container terminals in South Korea. Furthermore, we tested sensitive analysis to evaluate the extent of productivity by changing independent variable. And then we established the regression model to evaluate which factor has had the biggest impact on productivity. The results of this paper can give terminal operators guideline to improve productivity.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.10a
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• pp.82-83
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• 2012

To achieve higher customer service, the operational efficiency of container terminal is important. So, to improve loading/unloading speed and reduce the time spending of berth, efficient ship planning is performed in advance. But, the condition of container terminal can be changed frequently and the pre-planning is not enough to operate container terminal sufficiently, so that we need real-time planning. This paper aims to define the problem of job reallocation of quay crane to minimize total operation time, and find the solution.

• Journal of Navigation and Port Research
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• v.36 no.1
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• pp.69-74
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• 2012

Recent global supply chain, improving the efficiency of container shipping process is very important. In the overseas shipping of goods, the voyage of super containership is common to overcome amount of increasing cargo. Thus, container terminal managers make an experiment on the double cycle and dual cycle operation, which ship loading and unloading were carried out simultaneously, for maximizing the productivity of quay side. Yard Tractors(YTs) pooling methods also are introduced for increasing the efficiency of assignment of YTs. In this paper, we analyzed the efficiency of dual cycling through comparing existing pooling methods with the modified method for the dual cycling. We developed a simulation model using simulation analysis software, Arena. The result of experiment shown that the more dual cycling don't always increase the gross crane rate(GCR), which means productivity of quay cranes(QCs) per hour.

• Journal of Navigation and Port Research
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• v.46 no.1
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• pp.33-41
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• 2022

An important operational goal of a container terminal is to maximize the efficiency of the operation of quay cranes (QCs) that load and/or unload containers onto and from vessels. While the maximization of the efficiency of the QC operation requires minimizing the delay of yard tractors (YT) that transport containers between the storage yard and QCs, the delay is often inevitable because of traffic congestion. In this paper, we propose a method for learning a model that predicts traffic speed in a terminal using only YT operation data, even though the YT traffic is mixed with that of external trucks. Without any information on external truck traffic, we could still make a reasonable traffic forecast because the YT operation data contains information on the YT routes in the near future. The results of simulation experiments showed that the model learned by the proposed method could predict traffic speed with significant accuracy.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.103-116
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• 2008

This paper proposes quay crane (QC) scheduling algorithms that determine the working sequence of QCs over ship bays in a container vessel in automated container terminals. We propose two scheduling algorithms that examine the distribution of export containers in the stacking yard and determine the sequence of ship bays to balance the workload distribution among the yard blocks. One of the algorithms is a simple heuristic algorithm which dynamically selects the next ship bay based on the entropy of workloads among yard blocks whenever a QC finishes loading containers at a ship bay and the other uses genetic algorithm to search the optimal sequence of ship bays. To evaluate the fitness of each chromosome in the genetic algorithm, we have devised a method that is able to calculate an approximation of loading time of container vessels considering the workloads among yard blocks. Simulation experiments have been carried out to compare the efficiency of the proposed algorithms. The results show that our QC scheduling algorithms are efficient in reducing the turn-around time of container vessels.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.335-336
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• 2007

This paper propose a heuristic method that divides the block into some work regions to operate stacking cranes efficiently in a automated container terminal where the blocks with non-crossing stacking cranes(SC) are laid out in perpendicular to the quay. Typically, fund over between SCS and trucks occur at each side if the blocks, and each if the landside and seaside SCS is responsible for the jobs that occur at its own side. When a container to be fetched is located far from fund over point, the SC should move a long distance and the interference between the two cranes am occur, which decreases the productivity of the SCS. Therefore, our method divides the block into two exclusive and one shared regions and let the containers located far from their fund over points to be transferred to the shared region by the other side crane before they are carried out. Although simple this method am reduce the crane movement and the interference between the two cranes. Simulation experiment shows that our proposed method significantly improves the productivity if the container terminal than previous heuristic that does not divide work regions.